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Role Description

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. As a Hindi/English Bilingual Expert – India, you will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Hindi localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Hindi proficiency and strong command of the locale conventions for India.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.
• Location requirement: Only candidates based in Hindi will be considered for this role

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As a remote, hourly paid Bash/PowerShell Engineer, you will review AI-generated responses and generate high-quality automation-focused content, evaluating the reasoning quality and step-by-step problem-solving behind scripts and troubleshooting workflows. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in logic, safety, or portability; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct scripting patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, directly helping to improve the world’s premier AI models.

Your Profile

• Expert-level proficiency in Bash and/or PowerShell scripting.
• 2–3+ years of hands-on experience in at least one of Bash or PowerShell.
• Strong experience writing, debugging, and maintaining shell or object-based automation scripts.
• Ability to evaluate scripts for correctness, readability, safety, performance, and portability across environments.
• Professional experience in software engineering, DevOps, IT automation, or infrastructure-focused roles.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Significant experience using large language models (LLMs) while coding, troubleshooting, and reviewing scripts.
• Excellent English writing skills with the ability to document and explain complex automation clearly.
• Highly preferred: For Bash, strong comfort with awk, sed, and grep; for PowerShell, experience with PowerShell Core, DSC, and Azure PowerShell modules.
• Preferred: Merged PRs in CLI, DevOps, or infrastructure-related open-source projects; familiarity with CI pipelines, automation workflows, or cloud scripting; previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As an hourly paid, fully remote Go Engineer for AI Data Training, you will review AI-generated Go code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, readability, and adherence to backend-style best practices; identify errors in concurrency, error handling, or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Go; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, and your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.

Your Profile

• 1–2+ years of professional Go programming experience, ideally focused on backend services, APIs, or systems work.
• Strong understanding of Go idioms, including clear error handling, composition over inheritance, and simple, readable interfaces.
• Hands-on software engineering experience building and maintaining backend-style Go applications in production environments.
• Ability to evaluate correctness and readability in backend-oriented Go code, including concurrency patterns, error propagation, and API design.
• Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
• Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: hands-on experience with Go frameworks and libraries such as Gin, gRPC, or Echo in real projects.
• Preferred: merged PRs in Go open-source projects, competitive programming experience, cloud-native development exposure, and familiarity with Go performance profiling tools and techniques.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As a remote, hourly paid Kotlin Engineer, you will review AI-generated responses and generate high-quality Kotlin-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical information; craft expert-level explanations and model solutions that demonstrate correct approaches; and rate and compare multiple AI responses based on correctness and reasoning quality. T his role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, helping to improve the world’s premier AI models.

Your Profile

• 2+ years of hands-on Kotlin development experience.
• Strong understanding of Kotlin null safety, coroutines, and functional idioms.
• Professional software engineering experience using Kotlin for Android or backend services.
• Minimum Bachelor’s degree in Computer Science or a closely related field.
• Ability to critically evaluate idiomatic Kotlin style, design decisions, and architecture trade-offs.
• Significant experience using large language models (LLMs) to assist with coding, debugging, and code review.
• Excellent English writing skills with the ability to articulate complex technical concepts clearly.
• Highly preferred: Experience with Ktor, Android Jetpack, and advanced coroutine usage in production systems.
• Preferred: Merged pull requests in Kotlin open-source projects, competitive programming experience, or similar demonstration of strong problem-solving skills.
• Experience reviewing app logic or mobile/backend architecture, with previous AI data training or model evaluation work strongly preferred and Minimum C1 English proficiency.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, directly helping to improve the world’s premier AI models.

Your Profile

• 2+ years of hands-on experience using R for data analysis, statistics, or data science work.
• Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages.
• Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R.
• Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization.
• Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task.
• Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar.
• Minimum Bachelor’s degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field.
• Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R.
• Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts.
• Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As an hourly paid, fully remote Ruby Engineer for AI Data Training, you will review AI-generated Ruby and Rails code or generate your own solutions, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for readability, maintainability, and correctness; identify errors in MVC structure, domain modeling, or control flow; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Ruby patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, and your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.

Your Profile

• 1–2+ years of professional Ruby programming experience in production environments.
• Strong understanding of Ruby on Rails, MVC architecture, and idiomatic Ruby patterns for structuring application code.
• Hands-on software engineering experience building and maintaining Ruby or Rails applications, with exposure to real-world production constraints.
• Ability to evaluate readability, maintainability, and logical correctness in Ruby and Rails code, including model, controller, and service-layer design.
• Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating and reviewing their output.
• Excellent English writing skills, capable of producing clear, structured, and pedagogical technical explanations and code reviews.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, large-scale code review, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: experience with frameworks and tools such as Ruby on Rails, Sinatra, and RSpec in real projects.
• Preferred: merged PRs in Ruby open-source projects, experience with metaprogramming or test-heavy systems, and competitive programming exposure.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

As an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.

Your Profile

• 1–2+ years of professional Rust development experience in backend, CLI, or systems-focused projects.
• Strong understanding of Rust’s ownership, borrowing, and lifetime model, with the ability to reason clearly about aliasing and data races.
• Solid software engineering experience in at least one of backend services, command-line tools, or systems programming using Rust.
• Ability to evaluate safe, idiomatic Rust code, including appropriate use of traits, generics, pattern matching, and error handling.
• Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output.
• Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations.
• Minimum Bachelor’s degree in Computer Science or a closely related technical field.
• Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required.
• Highly preferred: experience with Tokio, Actix, Serde, and async Rust patterns in production or advanced side projects.
• Preferred: competitive programming experience, contributions to Rust open-source ecosystems, and demonstrated ability to reason about performance, concurrency, and correctness in Rust code.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

As a Senior C++ Engineer, you will work remotely on an hourly paid basis to review AI-generated C++ code, systems designs, and technical explanations, as well as generate high-quality reference implementations and step-by-step reasoning for complex engineering problems. You will assess solutions for accuracy, clarity, safety, and adherence to the prompt; identify errors in logic, memory handling, concurrency, or performance; fact-check technical information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This fully remote, hourly paid contractor role is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs, where your C++ and systems expertise will directly help improve the world’s premier AI models used by millions of developers worldwide.

Your Profile

• Bachelor’s degree or higher in Computer Science, Electrical/Computer Engineering, or a closely related technical field.
• 4+ years of professional experience developing production software in C++ for systems, performance-critical, or large-scale applications.
• Expert-level proficiency in modern C++ (C++11 and later), including templates, move semantics, smart pointers, and the STL.
• Strong background in systems programming concepts such as concurrency, operating systems, low-level performance optimization, and memory management.
• Hands-on experience with C++ build systems, compilers, linkers, debuggers, and profiling or analysis tools.
• Minimum C1 English proficiency (written and spoken), with the ability to write clear technical explanations and follow detailed English-language guidelines.
• Proven experience conducting detailed C++ code reviews and enforcing coding standards for safety, performance, and maintainability.
• Comfort working with version control, CI/CD workflows, and automated testing frameworks in modern C++ projects.
• Previous experience with AI data training, annotation, or evaluating AI-generated technical content is a strong plus.
• Highly detail-oriented and systematic, with a methodical approach to evaluating reasoning quality and identifying subtle issues in complex C++ code.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

As a remote, hourly paid Swift Engineer, you will review AI-generated responses and generate high-quality Swift and iOS-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical details; write expert-level explanations and model solutions that demonstrate correct approaches in Swift and iOS; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation model labs, helping to improve the world’s premier AI models.

Your Profile

• 2+ years of hands-on Swift/iOS development experience.
• Strong understanding of core Swift fundamentals, memory management, and ARC.
• Professional iOS engineering experience shipping or maintaining production mobile applications.
• Minimum Bachelor’s degree in Computer Science or a closely related field.
• Ability to evaluate code for correctness, maintainability, performance, and UI logic quality.
• Significant experience using large language models (LLMs) to assist with coding, debugging, and code review.
• Excellent English writing skills with the ability to articulate complex technical concepts clearly.
• Highly preferred: Experience with SwiftUI, UIKit, and Combine in modern iOS architectures such as MVVM.
• Preferred: Merged pull requests in Swift/iOS open-source projects, competitive programming exposure, or similar evidence of strong algorithmic problem-solving skills.
• Experience reviewing app logic or mobile architecture, with previous AI data training or model evaluation work strongly preferred, and Minimum C1 English proficiency.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Mercor is seeking senior clinical and research experts to review diagnostic and treatment-related materials focused on developmental disabilities. Deep expertise in diagnostic evaluation, developmental medicine, and intervention pathways is required.

Key Responsibilities:

• Review diagnostic guidance, clinical criteria, and evaluation workflows for accuracy, clarity, and adherence to current medical standards.
• Validate materials describing developmental disabilities, differential diagnostic considerations, and assessment methodologies.
• Assess content covering treatment options, care pathways, and evidence-based intervention approaches.
• Ensure information reflects up-to-date clinical practices, research findings, and appropriate diagnostic frameworks.
• Provide precise, expert-level feedback to uphold high scientific and clinical accuracy.

You’re a strong fit if you have:

• 10+ years of experience as a senior clinician (e.g., developmental pediatrician, neurologist, psychiatrist) or academic researcher specializing in developmental disabilities.
• Hands-on experience conducting or supervising diagnostic evaluations for developmental conditions.
• Deep, current understanding of treatment options (behavioral, medical, educational, and interdisciplinary).
• Strong ability to translate complex clinical/research concepts into accurate, structured review feedback.
• Demonstrated commitment to evidence-based practice and rigorous diagnostic standards.

Role Details:

• Type: Part-time, project-based
• Engagement: ~10 hours per week
• Duration: 4–6 weeks

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

This is a remote, hourly-paid contract role where you will review AI-generated content and safety decisions, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. For Chinese Trust & Safety Data Trainer role you will assess solutions for correctness and clarity, spot methodological or conceptual errors, fact-check where needed, and rate/compare multiple responses based on safety and policy alignment. You must be fluent/proficient (near-native or native) in Chinese and able to make nuanced judgments across Chinese and English content. This role is with the fast-growing AI Data Services company SME Careers (a subsidiary of SuperAnnotate), supporting many of the world’s largest AI companies and foundation-model labs. Your annotations on explicit safety tasks will be used to prevent the model from generating unintentional or adversarial, toxic, or unsafe outputs. You may be exposed to content that is sexual, violent, or psychologically disturbing in nature as part of this work to improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in a relevant field (e.g., Communications, Linguistics, Psychology, Law/Policy, Security Studies) or equivalent professional experience.
• Near-native or native Chinese proficiency (reading/writing) for high-precision safety labeling and cultural-linguistic nuance.
• Minimum C1 English proficiency (reading/writing) for policy interpretation, prompt understanding, and consistent documentation.
• Experience years in Trust & Safety, content moderation, policy operations, risk, compliance, investigations, or related safety functions (senior level).
• LLM red-teaming / adversarial testing experience is required (documented examples of edge-case discovery and mitigation recommendations).
• Localization/translation experience is highly preferred; able to preserve meaning, severity, and intent across languages.
• Emotional resilience: comfortable annotating unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
• Highly detail-oriented with strong judgment, consistency, and ability to follow evolving written guidelines.
• Strong analytical writing: concise rationales, clear decision paths, and reproducible reasoning for disagreements.
• Secure and confidential handling of sensitive content; reliable remote work practices and time management.

Key Responsibilities

• Label and quality-check safety data across categories such as hate/harassment, sexual content, self-harm, violence, bias, illegal goods/services, malicious activities, malicious code, and deliberate misinformation.
• Perform red-teaming and adversarial testing by identifying realistic attack patterns, edge cases, and policy gray areas; document rationales and recommend mitigations to reduce unsafe outcomes.
• Apply and localize safety policies consistently across Chinese and English: detect cultural nuance, slang, coded language, and context shifts; escalate uncertainty using documented decision paths.

In this hourly-paid, fully remote French Trust & Safety Data Trainer contractor role, you will review AI-generated responses and/or generate safety-focused evaluation content, assess reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, safe, and clearly explained. You will annotate and evaluate content in English and French; you must be fluent/proficient (near-native or native) in French and able to apply Minimum C1 English to interpret prompts and policies precisely. Your annotations on these explicit tasks will be used to prevent the Large Language Model from generating unintentional or adversarial, toxic, or unsafe outputs. The types of explicit content you may be exposed to may include, but are not limited to, those of a sexual, violent, or psychologically disturbing nature. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs, helping improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in a relevant field (e.g., Communications, Linguistics, Psychology, Law/Policy, Security Studies) or equivalent professional experience.
• Near-native or native French proficiency (reading/writing) for high-precision safety labeling and cultural-linguistic nuance.
• Minimum C1 English proficiency (reading/writing) for policy interpretation, prompt understanding, and consistent documentation.
• Experience in Trust & Safety, content moderation, policy enforcement, risk operations, investigations, or safety evaluation work.
• LLM red teaming experience is a must (proven ability to probe safety boundaries and document adversarial patterns).
• Strong knowledge of safety domains: Hate & Harassment, Sexual content, Suicide & Self-Harm, Violence, Bias, Illegal goods/services, malicious activities, malicious code, and deliberate misinformation.
• Emotional resilience: an understanding that this role requires annotating texts that contain unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
• Excellent judgment under ambiguity, with the ability to apply written policies consistently and explain decisions succinctly.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.

Key Responsibilities

• Curate and label safety-focused training examples (including adversarial/red-team cases) in English and French that probe model behavior across hate/harassment, sexual content, self-harm, violence, bias, illegal services, malicious activity, malicious code, and misinformation—capturing nuance and intent with Minimum C1 English and near-native French proficiency.
• Review, score, and compare multiple model responses against safety policy and quality rubrics, documenting why an output is safe/unsafe and identifying failure modes such as evasion, normalization, escalation, or procedural enablement.
• Continuously stress-test and audit model behavior for policy gaps and edge cases; flag ambiguous scenarios, propose clearer decision rules, and help maintain consistent annotation standards across reviewers.

German Trust & Safety Data Trainer is a remote, hourly-paid contract role where you will review AI-generated content and safety decisions, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for correctness and clarity, spot methodological or conceptual errors, fact-check where needed, and rate/compare multiple responses based on safety and policy alignment. You must be fluent/proficient (near-native or native) in German and able to make nuanced judgments across German and English content. This role is with the fast-growing AI Data Services company SME Careers (a subsidiary of SuperAnnotate), supporting many of the world’s largest AI companies and foundation-model labs. Your annotations on explicit safety tasks will be used to prevent the model from generating unintentional or adversarial, toxic, or unsafe outputs. You may be exposed to content that is sexual, violent, or psychologically disturbing in nature as part of this work to improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in a relevant field (e.g., Communications, Linguistics, Psychology, Law/Policy, Security Studies) or equivalent professional experience.
• Near-native or native German proficiency (reading/writing) for high-precision safety labeling and cultural-linguistic nuance.
• Minimum C1 English proficiency (reading/writing) for policy interpretation, prompt understanding, and consistent documentation.
• Experience in Trust & Safety, content moderation, policy operations, risk, compliance, investigations, or related safety functions (senior level).
• LLM red-teaming / adversarial testing experience is required (documented examples of edge-case discovery and mitigation recommendations).
• Localization/translation experience is highly preferred; able to preserve meaning, severity, and intent across languages.
• Emotional resilience: comfortable annotating unsafe, explicit, and/or toxic content, including content of a sexual, violent, or psychologically disturbing nature.
• Highly detail-oriented with strong judgment, consistency, and ability to follow evolving written guidelines.
• Strong analytical writing: concise rationales, clear decision paths, and reproducible reasoning for disagreements.
• Secure and confidential handling of sensitive content; reliable remote work practices and time management.

Key Responsibilities

• Label and quality-check safety data across categories such as hate/harassment, sexual content, self-harm, violence, bias, illegal goods/services, malicious activities, malicious code, and deliberate misinformation.
• Perform red-teaming and adversarial testing by identifying realistic attack patterns, edge cases, and policy gray areas; document rationales and recommend mitigations to reduce unsafe outcomes.
• Apply and localize safety policies consistently across German and English: detect cultural nuance, slang, coded language, and context shifts; escalate uncertainty using documented decision paths.

Role Description

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Hindi localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Hindi proficiency and strong command of the locale conventions for India.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.
• Location requirement: Only candidates based in India will be considered for this role

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

In this hourly-paid, fully remote contractor English German Teacher role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level German localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in German Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native German proficiency and strong command of the locale conventions for Germany.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.
• Location requirement: Only candidates based in Germany will be considered for this role

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

In this hourly-paid, fully remote contractor Portuguese English Translator role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Portuguese localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Portuguese proficiency and strong command of the locale conventions for Portugal.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.
• Location requirement: Only candidates based in Brazil will be considered for this role

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Japanese localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in Japanese Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Japanese proficiency and strong command of the locale conventions for Japan.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

In this hourly-paid, fully remote contractor role, you will review AI-generated responses and/or generate language content, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback so outputs are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check information; write high-quality explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. You will apply senior-level Spanish localization/translation judgment alongside Minimum C1 English proficiency to ensure terminology, tone, and cultural nuance are consistently correct across use cases. This role is with SME Careers, a fast-growing AI Data Services company and a subsidiary of SuperAnnotate that provides AI training data for many of the world’s largest AI companies and foundation-model labs. Your work directly helps improve the world’s premier AI models.

Your Profile

• Bachelor’s degree or higher in Translation, Linguistics, Localization, Communications, or a related field.
• Native or near-native Spanish proficiency and strong command of the locale conventions for Spain.
• Minimum C1 English proficiency (reading/writing) for interpreting prompts, sources, and evaluation guidelines.
• 5+ years of professional localization/translation experience (multilingual localization experience strongly preferred).
• Demonstrated ability to apply MQM/LQA concepts (severity, category, and root-cause thinking) to produce consistent quality decisions.
• Proficiency with CAT tools and QA workflows (translation memory, termbases, automated checks) and comfort working with structured guidelines.
• Excellent editorial judgment (register, tone, inclusivity, and cultural nuance) with extreme attention to detail.
• Ability to rigorously fact-check localized content (units, references, names, dates) using reliable sources and consistent reasoning.
• Comfort working as an hourly contractor: dependable throughput, clear documentation, and responsiveness across time zones.
• Previous experience with AI data training / annotation / evaluation is preferred.
• Location requirement: Only candidates based in Spain will be considered for this role

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

We’re seeking biologists to join our AI training project. In this role, you will review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check biological information; write high-quality biological explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on biological correctness and reasoning quality.

Your Profile

• You hold a MS or PhD in Biology, Molecular Biology, Biochemistry, Physiology, or a closely related life-science field.in one of the top 100 universities.
• Confident in human and animal biology, molecular pathways, physiology, disease/health fundamentals, and lab/experimental reasoning.
• You have developed or critically reviewed complex biology content (e.g., problem banks, proofs, textbook sections, research notes).
• Expert at fact-checking information using public sources across multiple domains.
• Published in a peer-reviewed journal.
• You communicate biology clearly and turn advanced theory into real-world solutions.
• English proficiency C1 and above with excellent writing skills.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Mercor is seeking native Brazilian Portuguese speakers who are also medical professionals based in Brazil. This role combines your clinical expertise with language mastery, helping train cutting-edge AI models in the healthcare domain.

You will leverage your background in medicine, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world medical usage in Portuguese

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Role Responsibilities

• Medical Content Development: Translate, adapt, and synthesize complex medical concepts into clear, structured rubrics for AI training.
• Bilingual Communication: Write fluently in both Portuguese and English, ensuring accurate terminology and nuanced expression across languages.
• Domain Expertise: Provide cultural and medical insights specific to Brazilian healthcare, ensuring linguistic accuracy in clinical and professional contexts.
• Collaboration: Work closely with reviewers and peers to refine content.

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Ideal Candidates Should Have:

• Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English.
• Education: Advanced degree (MD, Nursing, Pharmacy, or related healthcare field).
• Experience: 2–6+ years of medical practice, research, or healthcare-related professional experience.
• Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in medical writing, instructional design, or academic publishing.
• Nice to Haves
  • Experience with grading, instructional design, or rubric development is a plus.
  • Familiarity with generative AI models or machine learning concepts is a bonus, but not required.

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More Details About This Role:

• This is a remote and asynchronous role — work on your own schedule.
• Expect to contribute at least 20 hours per week.
• Expect a commitment of around 2 months.
• You’ll be working in a structured project environment with clear goals and tools.

Application and Onboarding Process:

• Submit your resume.
• Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes.
• If selected, you’ll take a follow-up AI-led interview to assess your professional background.
• You’ll then complete a paid work trial to determine if this type of work is suited for you.
• After that, you’ll receive feedback and be onboarded to the project.

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About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking native Brazilian Portuguese speakers who are also finance professionals based in Brazil. This role combines your financial analysis and investment expertise with language mastery, helping train cutting-edge AI models in the finance domain.

You will leverage your background in finance, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world finance usage in Portuguese

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Role Responsibilities

• Financial Content Development: Translate, adapt, and synthesize complex financial concepts into clear, structured rubrics and documentation for AI training.
• Bilingual Communication: Write fluently in both Portuguese and English, ensuring precise financial terminology and nuanced expression across languages.
• Domain Expertise: Provide cultural and financial insights specific to Brazilian markets, regulations, and practices, ensuring linguistic and contextual accuracy in professional finance settings.
• Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with financial industry standards.

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Ideal Candidates Should Have:

• Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English.
• Education: Advanced degree in Finance, Economics, Accounting, Business Administration, or a related field.
• Experience: 2–6+ years of professional experience in finance, banking, consulting, investment, or related financial sectors.
• Analytical Abilities: Excellent writing, analytical, and communication skills. Experience in financial writing, instructional design, reporting, or academic publishing is highly valued.
• Nice to Haves
  • Experience with grading, instructional design, or rubric development is a plus.
  • Familiarity with generative AI models or machine learning concepts is a bonus, but not required.

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More Details About This Role:

• This is a remote and asynchronous role — work on your own schedule.
• Expect to contribute at least 20 hours per week.
• Expect a commitment of around 2 months.
• You’ll be working in a structured project environment with clear goals and tools.

Application and Onboarding Process:

• Submit your resume.
• Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes.
• If selected, you’ll take a follow-up AI-led interview to assess your professional background.
• You’ll then complete a paid work trial to determine if this type of work is suited for you.
• After that, you’ll receive feedback and be onboarded to the project.

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About Mercor: Mercor is a San Francisco-based company connecting top-tier professionals with cutting-edge AI initiatives. Backed by investors like Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey, we specialize in accelerating AI development through expert human collaboration.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is seeking native Brazilian Portuguese speakers who are also education professionals based in Brazil. This role combines your teaching and education expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the education domain.

You will leverage your background in education, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world education usage in Portuguese.

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Role Responsibilities

• Education Content Development: Translate, adapt, and synthesize complex nuances in education workflows and processes in Brazil, reflecting curriculum standards and pedagogy across different educational domains.
• Bilingual Communication: Write fluently in both Portuguese and English, ensuring precise education terminology and nuanced expression across languages.
• Domain Expertise: Provide cultural insights specific to the Brazilian education system, including assessment, classes, norms at school, and more.
• Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with educational standard practices in Brazil.

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Ideal Candidates Should Have:

• Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English.
• Education: Advanced degree in Teaching, Pedagogy, or a related field.
• Experience: 2–6+ years of professional experience teaching in Brazil.
• Analytical Abilities: Excellent writing, analytical, and communication skills. Experience delivering and creating assessments to students is highly desired.
• Nice to Haves
  • Experience with rubric development is a plus.
  • Familiarity with generative AI models or machine learning concepts is a bonus, but not required.

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More Details About This Role:

• This is a remote and asynchronous role — work on your own schedule.
• Expect to contribute at least 20 hours per week.
• Expect a commitment of around 2 months.
• You’ll be working in a structured project environment with clear goals and tools.

Application and Onboarding Process:

• Submit your resume.
• Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes.
• If selected, you’ll take a follow-up AI-led interview to assess your professional background.
• You’ll then complete a paid work trial to determine if this type of work is suited for you.
• After that, you’ll receive feedback and be onboarded to the project.

Mercor is seeking native Brazilian Portuguese speakers who are also marketing professionals based in Brazil. This role combines your marketing expertise across a wide variety of different subjects with language mastery, helping train cutting-edge AI models in the marketing domain.

You will leverage your background in marketing, alongside your bilingual communication skills, to create accurate, culturally nuanced, and technically precise content that reflects real-world marketing usage in Portuguese.

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Role Responsibilities

• Marketing Content Development: Translate, adapt, and synthesize complex calculations, analytics, and practices in marketing in Brazil.
• Bilingual Communication: Write fluently in both Portuguese and English, ensuring correct marketing terminology and nuanced expression across languages.
• Domain Expertise: Provide cultural insights specific to Brazilian marketing, reflecting cultural norms and media habits that drive marketing effectiveness.
• Collaboration: Work closely with reviewers and peers to refine content, validate accuracy, and align outputs with marketing standard practices in Brazil.

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Ideal Candidates Should Have:

• Language Skills: Native-level fluency in Brazilian Portuguese with strong written and spoken English.
• Education: Degree in marketing, communications, advertising, or a similar field.
• Experience: 2–6+ years of experience in marketing in Brazil.
• Analytical Abilities: Excellent writing, analytical, and communication skills.
• Nice to Haves
  • Experience with assessment and rubric development is a plus.
  • Familiarity with generative AI models or machine learning concepts is a bonus, but not required.

---

More Details About This Role:

• This is a remote and asynchronous role — work on your own schedule.
• Expect to contribute at least 20 hours per week.
• Expect a commitment of around 2 months.
• You’ll be working in a structured project environment with clear goals and tools.

Application and Onboarding Process:

• Submit your resume.
• Complete an AI-led interview to assess Portuguese language ability and professional experience. This should take around 15 minutes.
• If selected, you’ll take a follow-up AI-led interview to assess your professional background.
• You’ll then complete a paid work trial to determine if this type of work is suited for you.
• After that, you’ll receive feedback and be onboarded to the project.

Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems.

This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation.

Candidates should have 2+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices.

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Responsibilities

• Frame unique ML problems for enhancing ML capabilities of LLMs.
• Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks.
• Run rapid experimentation cycles, evaluate model performance, and iterate continuously.
• Conduct advanced feature engineering and data preprocessing.
• Implement adversarial testing, model robustness checks, and bias evaluations.
• Fine-tune, evaluate, and deploy transformer-based models where necessary.
• Maintain clear documentation of datasets, experiments, and model decisions.
• Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward.

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Required Qualifications

• At least 2 years of full-time experience in machine learning model development
• Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field
• Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent)
• Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings)
• Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks
• Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures
• Experience with distributed training, ML pipelines, and experiment tracking
• Strong problem-solving skills and algorithmic thinking
• Experience working with cloud environments (AWS/GCP/Azure)
• Exceptional analytical, communication, and interpersonal skills
• Ability to clearly explain modelling decisions, tradeoffs, and evaluation results
• Fluency in English

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Preferred / Nice to Have

• Kaggle Grandmaster, Master, or multiple Gold Medals
• Experience creating benchmarks, evaluations, or ML challenge problems
• Background in generative models, LLMs, or multimodal learning
• Experience with large-scale distributed training
• Prior experience in AI research, ML platforms, or infrastructure teams
• Contributions to technical blogs, open-source projects, or research publications
• Prior mentorship or technical leadership experience
• Published research papers (conference or journal)
• Experience with LLM fine-tuning, vector databases, or generative AI workflows
• Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc.
• Experience optimising inference performance and deploying models at scale

Mercor is seeking skilled Mandarin language experts with strong bilingual proficiency in English and Mandarin to support a high-impact AI research initiative in partnership with a leading AI lab. In this role, you will evaluate and audit Mandarin-language AI outputs across a variety of tasks, ensuring accuracy, clarity, and cultural correctness.

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Key Responsibilities

• Review and audit Mandarin-language data, including translations, summaries, Q&A responses, and reasoning outputs.
• Evaluate text quality using structured rubrics (8–10 criteria), focusing on clarity, correctness, fluency, and consistency.
• Check translation accuracy between Mandarin ↔ English, ensuring semantic fidelity and natural phrasing.
• Identify linguistic errors in grammar, spelling, style, register, and cultural nuances.
• Assess logical reasoning within Mandarin-language explanations and identify gaps or inconsistencies.
• Provide clear, concise written feedback to justify evaluation decisions.
• Work independently and asynchronously using provided tools and workflows.

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Qualifications

• Native or near-native Mandarin proficiency
• Strong English reading and writing ability
• Experience in one or more of the following:
  • Mandarin ↔ English translation
  • Proofreading or linguistic quality review
  • Text evaluation, annotation, or content moderation
  • Summarization, classification, or Q&A tasks
• Strong attention to detail and ability to follow complex guidelines.
• Ability to work independently in a remote environment.

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Role Details

• Part-time: 30–40 hours per week
• Fully remote and asynchronous
• Flexible scheduling

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Compensation

• Contractor role via Mercor
• $30–$60/hour, depending on experience
• Weekly payments through Stripe Connect

Key Responsibilities

• Game Evaluation: Watch cricket games and review AI-generated play-by-play commentary and post-game analysis.
• Performance Scoring: Rate the accuracy, insight, and entertainment value of AI sports coverage.
• Context & Understanding: Assess the AI’s grasp of player performance, game flow, and strategic decisions.
• Error Detection: Identify factual mistakes, poor interpretations, or stylistic inconsistencies.
• Feedback Reporting: Provide clear written feedback highlighting strengths, weaknesses, and improvement opportunities.
• Collaboration: Work with analysts and developers to enhance the AI’s cricket-specific reasoning and realism.

Required Qualifications

• Cricket Expertise: Deep understanding of the game — whether through playing, coaching, commentating, or passionate fandom.
• Analytical Thinking: Ability to evaluate cricket strategies, narratives, and statistical insights.
• Communication Skills: Strong written English and ability to clearly articulate nuanced cricket insights.
• Tech Readiness: Comfortable using online evaluation tools and dashboards.

Compensation & Contract Terms

• $57–66/hour for applicants based in the US or South Africa
• $19–22/hour for applicants based in India
• You’ll be classified as an independent contractor

Ideal Qualifications:

• Have a Masters or PhD in Chemistry from a top US university.
• Have experience coding in Python, R for projects or research.
• Have field-specific experience in Quantum Chemistry or Computational Chemistry
• Have high attention to detail.
• Have exceptional written and verbal communication skills.
• Have excellent proficiency in English.
• Are currently based in the U.S., Canada, New Zealand, UK, or Australia.

Key Responsibilities:

• You will work asynchronously with a team of highly qualified experts across your domain.
• You will craft, solve, and review challenging problems with real world applicability.
• The project is 15-20 hours of work per week with potential for increased hours and extension.
• The work is fully remote and asynchronous.

Role Start Date

• This role will begin in late December with applications reviewed on a rolling basis.

Interview Process

• You will complete a short interview to assess your domain expertise.
• You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired.

Compensation and Legal Details

• You will be legally classified as an hourly contractor for Mercor.
• You will be paid out at the end of each week via Stripe Connect.

Ideal Qualifications:

• Have a Masters or PhD in Physics from a top US university.
• Have experience coding in Python, MATLAB for projects or research.
• Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing,Computational Physics, Astrophysics, Particle Physics
• Have high attention to detail.
• Have exceptional written and verbal communication skills.
• Have excellent proficiency in English.
• Are currently based in the U.S., Canada, New Zealand, UK, or Australia.

Key Responsibilities:

• You will work asynchronously with a team of highly qualified experts across your domain.
• You will craft, solve, and review challenging problems with real world applicability.
• The project is 15-20 hours of work per week with potential for increased hours and extension.
• The work is fully remote and asynchronous.

Role Start Date

• This role will begin in late December with applications reviewed on a rolling basis.

Interview Process

• You will complete a short interview to assess your domain expertise.
• You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired.

Compensation and Legal Details

• You will be legally classified as an hourly contractor for Mercor.
• You will be paid out at the end of each week via Stripe Connect.

• Seeking active open-source contributors with demonstrated experience working on well-known open-source repositories (e.g., significant GitHub contributions).
• Must-have: Strong ability to author and manage Pull Requests (PRs), including merging new code into large and complex open-source codebases.
• Prior experience as a Software Engineer for 3+ years is preferred.
• Rate: Flexible, starting at $150/hr.
• Looking for expert-level engineers who can start immediately.
• Project duration may be extended depending on both client needs and expert availability.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Key Responsibilities

• Critically review machine learning papers for methodological soundness, novelty, and clarity.
• Inspect Python source code and experimental logs to validate reported metrics against underlying data.
• Conduct literature reviews using tools such as Google Scholar or Semantic Scholar to identify prior work, detect plagiarism, and assess research originality.
• Provide structured feedback on “human-quality” research assessments and potential ethical or safety-related concerns.
• Submit non-identifying background details (e.g., affiliation, highest degree, publication links) to establish evaluator credibility for the study.

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Ideal Qualifications

• Strong academic or professional background in artificial intelligence, machine learning, or related research domains.
• Experience interpreting and analyzing ML papers; familiarity with top-tier venues (e.g., NeurIPS, ICLR, ICML) is preferred but not required.
• Ability to read and evaluate Python code, experimental pipelines, and quantitative logs.
• Demonstrated experience with academic literature review tools.
• Doctoral students, industry researchers, and published authors are encouraged to provide services.
• High attention to detail and ability to assess complex technical arguments.

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Contract Terms

• Payments are issued regularly based on completed work via Mercor’s platform.
• Start date: Immediate.

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Application Process

• Submit your resume or CV to begin.
• Complete a brief form outlining your technical background and relevant publications.
• Additional screening questions or sample evaluations may be requested to confirm expertise.
• You will be contacted with next steps shortly after submission.

Mercor is seeking Mathematics/Statistics Master’s and PhD’s (current or graduated) for a premier project with one of the world’s top AI labs.

In this role, you will contribute your subject matter expertise to a cutting-edge project involving state-of-the-art large language models. Specifically, you will help create high-quality data that will inform the future of AI innovation by coming up with difficult problems in your domain.

You’re a good fit if you:

• Received your undergraduate degree in US/UK/Canada/Western Europe
• Received your graduate degree (or are currently studying) at a top US/UK/Canada/Western European university
• Have high attention to detail
• Have exceptional written and verbal communication skills
• Have excellent proficiency in English

Here are more details about the role:

• The role is ongoing starting in November and continuing with rolling applications
• This phase of the project is scoped to last 1-2 months
• Experts are expected to contribute 4-6 tasks per week, each taking several hours to complete
• The work is flexible (fully remote and asynchronous)
• The work will require rigorous mathematics expertise and ability to follow complex instructions

With respect to pay and legal status:

• You will be legally classified as an hourly contractor
• You will be paid on a weekly cadence via Stripe Connect

Screening Process:

• You will need to complete a short AI interview and form – the whole application process should last 20-40 minutes

Mercor is seeking highly qualified Medical Experts with strong clinical knowledge and excellent analytical skills to support a high-impact AI research initiative in partnership with a leading AI lab. In this role, you will evaluate and audit AI-generated medical outputs across a wide range of clinical and scientific tasks, ensuring accuracy, safety, and adherence to medical standards.

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Key Responsibilities

• Review and audit AI-generated medical content, including clinical explanations, differential diagnoses, treatment recommendations, research summaries, and patient-facing materials.
• Evaluate medical text quality using structured rubrics (8–10 criteria), focusing on accuracy, evidence alignment, clarity, and risk/safety considerations.
• Verify correctness of clinical reasoning, identifying logical gaps, unsafe recommendations, or unsupported claims.
• Assess adherence to medical guidelines, best practices, and standard terminology.
• Identify errors related to medical facts, pathophysiology, pharmacology, contraindications, or misinterpretation of clinical data.
• Provide clear, concise written feedback to justify evaluation decisions.
• Work independently and asynchronously using provided tools and workflows.

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Qualifications

• Advanced medical training (MD, DO, RN, PA, NP, clinical researcher, or equivalent background).
• Strong understanding of clinical reasoning, diagnostic process, and evidence-based practice.
• Experience in one or more of the following:
  • Clinical writing or reviewing
  • Medical education or exam preparation content
  • Research interpretation and summarization
  • Healthcare quality review or medical annotation tasks
• Exceptional attention to detail and ability to follow complex guidelines.
• Ability to work independently in a remote environment.

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Role Details

• Part-time: 30–40 hours per week
• Fully remote and asynchronous
• Flexible scheduling

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Compensation

• Contractor role via Mercor
• $80–$100/hour, depending on experience
• Weekly payments through Stripe Connect

We are looking for Law Domain Expert evaluators with experience or an academic/professional background in Law, Legal Research, Compliance, or related fields. This workflow is ideal for individuals who:

• Have experience in legal analysis, legal practice, compliance, or academic legal research.
• Are familiar with case law, statutes, regulatory frameworks, and legal terminology.
• Can critically evaluate the structure, reasoning, and accuracy of legal arguments.
• Are comfortable working independently and asynchronously.

Key Responsibilities

• Evaluate the quality, accuracy, and relevance of agent-generated legal research reports.
• Assess legal reasoning, factual accuracy, and the applicability of cited laws or precedents.
• Provide structured feedback using a provided rubric and include written justifications for your evaluations.
• Work independently and asynchronously, ensuring evaluations are completed within the required timeline.
• Ensure all reports demonstrate clarity, legal soundness, and adherence to the rubric.

You’re a Strong Fit If You Have:

• Experience in law, legal research, litigation support, compliance, policy analysis, or related fields.
• Strong analytical skills to assess legal arguments, factual application, and the relevance of cited authorities.
• Excellent written communication skills to provide precise, cogent, and actionable feedback.
• Comfort working independently and asynchronously.

Role Details

• Part-time (15–30 hours/week) with flexible scheduling.
• 100% remote and asynchronous — work from anywhere.
• Contractor position via Mercor, paid hourly.
• Competitive rates: $80–$100/hour depending on expertise.
• Weekly payments processed securely through Stripe Connect.

We are looking for Media & Ads Domain Expert evaluators with experience or a background in Media, Advertising, Marketing, or Communications. This workflow is ideal for individuals who:

• Have experience in the media and advertising industries, including digital marketing and content creation.
• Are familiar with trends in digital advertising, social media, and consumer engagement strategies.
• Can assess the quality of research and provide constructive feedback.
• Are comfortable working independently and asynchronously.

Key Responsibilities

• Evaluate the quality and relevance of agent-generated research reports in the Media & Ads domain.
• Provide structured feedback using a provided rubric and offer written justifications for your evaluations.
• Work independently and asynchronously to meet deadlines and ensure high-quality assessments.
• Ensure that all reports meet industry standards for accuracy, relevance, and clarity.

You’re a Strong Fit If You Have:

• Experience or knowledge in the Media & Ads industry, including digital advertising and marketing.
• Strong analytical skills to assess trends, strategies, and the quality of research reports.
• Excellent written communication skills to provide clear and actionable feedback.
• Comfort working independently and asynchronously.

Role Details

• Part-time (20–40 hours/week) with flexible scheduling.
• 100% remote and asynchronous — work from anywhere.
• Contractor position via Mercor, paid hourly.
• Competitive rates: $85–$105/hour depending on expertise.
• Weekly payments processed securely through Stripe Connect.

About Mercor

Mercor is a San Francisco-based company that connects elite professionals with frontier AI research. Our backers include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Mercor is partnering with a cutting-edge AI research lab to hire a Senior Data Engineer / Analytics Engineer (India-based) with expertise across DBT and Snowflake’s Cortex CLI. In this role, you will build and scale Snowflake-native data and ML pipelines, leveraging Cortex’s emerging AI/ML capabilities while maintaining production-grade DBT transformations. You will work closely with data engineering, analytics, and ML teams to prototype, operationalise, and optimise AI-driven workflows—defining best practices for Snowflake-native feature engineering and model lifecycle management. This is a high-impact role within a modern, fully cloud-native data stack.

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Responsibilities

• Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices.
• Integrate DBT workflows with Snowflake Cortex CLI, enabling:
  • Feature engineering pipelines
  • Model training & inference tasks
  • Automated pipeline orchestration
  • Monitoring and evaluation of Cortex-driven ML models
• Establish best practices for DBT–Cortex architecture and usage patterns.
• Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake.
• Build and optimise CI/CD pipelines for dbt (GitHub Actions, GitLab, Azure DevOps).
• Tune Snowflake compute and queries for performance and cost efficiency.
• Troubleshoot issues across DBT arti-facts, Snowflake objects, lineage, and data quality.
• Provide guidance on DBT project governance, structure, documentation, and testing frameworks.

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Required Qualifications

• 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments.
• Strong expertise with Snowflake (warehouses, tasks, streams, materialised views, performance tuning).
• Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly.
• Strong SQL skills; working familiarity with Python for scripting and DBT automation.
• Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.).
• Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development.

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Nice-to-Have Skills

• Prior experience operationalising ML workflows inside Snowflake.
• Familiarity with Snow-park, Python UDFs/UDTFs.
• Experience building semantic layers using DBT metrics.
• Knowledge of MLOps / DataOps best practices.
• Exposure to LLM workflows, vector search, and unstructured data pipelines.

Key Responsibilities

• Read and interpret data generated from B2B SaaS platforms and how they could be used to improve an employee’s or business owner’s day to day experience
• Generate high-quality prompts and corresponding golden responses based on ticket content
• Draft evaluation rubrics and edge case documentation
• Ensure clarity and alignment across prompt guidelines and task outputs
• Reference SaaS platform outputs data as needed to complete assigned tasks
• Maintain consistency and accuracy in writing across multiple assignments

Ideal Qualifications

• Proficiency with task management tools (e.g. Linear, Jira), workforce messaging applications (e.g. Slack, Teams), CRMs (e.g. Salesforce, Dynamics), or other types of B2B SaaS tools
• Prior experience writing prompts, training data, or instructional content
• Strong written communication and critical thinking skills
• Detail-oriented and able to follow structured guidelines independently

More About the Opportunity

• Remote and asynchronous — set your own hours
• Expected commitment: 15–20 hours/week
• Initial project duration: ~2 weeks with possibility of extension upto 6 weeks

Compensation & Contract Terms

• Pay range – $30–37/hour
• Independent contractor arrangement
• Paid weekly via Stripe Connect

Application Process

• Submit your resume to get started
• You may be asked to complete a short questionnaire or demo task
• We aim to follow up within 3–5 business days

About Mercor

• Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
• Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey
• Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Biology Experts (Masters/PhDs) for a premier project with one of the world’s top AI labs.

In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation.

Ideal Qualifications:

• Have a Masters or PhD in Biology from a top US university.
• Have experience coding in Python, R for projects or research.
• Have field-specific experience in Ecology, Biochemistry, or Genetics
• Have high attention to detail.
• Have exceptional written and verbal communication skills.
• Have excellent proficiency in English.
• Are currently based in the U.S., Canada, New Zealand, UK, or Australia.

Key Responsibilities:

• You will work asynchronously with a team of highly qualified experts across your domain.
• You will craft, solve, and review challenging problems with real world applicability.
• The project is 15-20 hours of work per week with potential for increased hours and extension.
• The work is fully remote and asynchronous.

Role Start Date

• This role will begin in late December with applications reviewed on a rolling basis.

Interview Process

• You will complete a short interview to assess your domain expertise.
• You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired.

Compensation and Legal Details

• You will be legally classified as an hourly contractor for Mercor.
• You will be paid out at the end of each week via Stripe Connect.

About Mercor

Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Role Description

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for an Arabic AI Data Trainer Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality Arabic content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Linguistics, Communication, Journalism or related field.
• Arabic mastery: Exceptional written Arabic with excellent grammar, syntax, and stylistic flexibility (formal, neutral, conversational).
• LLM training experience: Hands-on experience with LLM projects preferably in QA or lead roles
• English proficiency: minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical & detail-oriented: You notice inconsistencies, edge cases, and guideline gaps, and are comfortable working with detailed instructions.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Quality: Conduct regular spot checks on items, provide clear and constructive feedback to trainers, and escalate issues when necessary.
• Communication: Keep trainers and QAs updated on Discord about new items or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively communicate to inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve key documents such as style guides, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to ensure they understand the guidelines and expectations.

Responsibilities:

• View a series of videos and evaluate which ones you prefer.
• Record short audio clips (typically 2-3 minutes each) using provided tools or platforms.
• Ensure recordings are high quality and free from background noise or distortion.
• Follow specific linguistic, timing, or stylistic guidelines as outlined by the research team.
• Collaborate with AI researchers and QA teams to review and iterate on data quality.

Qualifications:

• Excellent verbal communication and enunciation skills.
• Native or near-native fluency in English (other language fluencies are a plus).
• Strong attention to detail and the ability to follow annotation guidelines precisely.
• Prior experience with voice recording or data annotation is a plus, but not required.
• Comfortable working independently and handling repetitive tasks with consistency.

What You’ll Gain:

• An opportunity to contribute to foundational AI research at a world-leading lab.
• Experience working at the intersection of language, audio, and computer vision.
• Flexible, remote-friendly work structure.

Pay:

• You will be paid $20/hour

Interview Process:

• You will take a 15 minute AI interview & complete a quick form outlining your availability
• We aim to get back to all applicants within one week of submitting an application

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Role Overview

Mercor is partnering with a top AI research lab on an exciting project pushing the limits of multimodal machine learning — technology that helps AI understand both visuals and sound.

We’re looking for detail-oriented freelance contributors to review and compare short video and audio clips. Your feedback will directly improve the next generation of AI systems that interpret images, audio, and video.

This is a remote, short-term opportunity that offers flexible hours.

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Eligibility

You can apply if you’re based in:

• United States (except residents of California, New York, Connecticut, Washington, or the District of Columbia)
• United Kingdom
• Canada
• Australia

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What You’ll Do

• Review and evaluate different types of multimedia content — including audio, images, and video.
• Compare AI-generated results and choose which ones look or sound best.
• Tag or annotate videos and sounds to help train AI systems.
• Follow clear project guidelines to keep results consistent.
• Play a key role in improving the accuracy and reliability of cutting-edge multimodal AI.

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What We’re Looking For

• Fluent in English (native or near-native; other languages are a plus!)
• Great attention to detail and strong communication skills.
• Able to carefully follow instructions and meet quality standards.
• Comfortable working independently and staying focused on repetitive tasks.

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Why You’ll Like This Opportunity

• Fully remote and asynchronous — work when it suits you.
• Short-term, contract-based engagement.
• Workload depends on available tasks, giving you flexibility.

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Pay & Contract

• $16 per hour for time spent on tasks.
• Weekly payments via Stripe Connect.
• Work as an independent contractor.

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How to Apply

1. Fill out a short application form and availability survey.
2. Complete a quick 15-minute AI interview.
3. Most applicants hear back within 2 weeks of applying.

Role Description

We’re seeking biologists to join our AI training project. In this role, you will review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check biological information; write high-quality biological explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on biological correctness and reasoning quality.

Your Profile

• You hold a BS Degree in Biology (or a closely related life science) in one of the top 100 universities.
• Expert at fact-checking information using public sources across multiple domains.
• You communicate biology clearly and turn advanced theory into real-world solutions.
• English proficiency C1 and above with excellent writing skills.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

We’re seeking physicists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check physics information; write high-quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality.

Your Profile

• You hold an MS or PhD in Physics or a related field in one of the top 100 universities.
• You have developed or critically reviewed complex physics content (e.g., problem banks, proofs, textbook sections, research notes).
• Expert at fact-checking information using public sources across multiple domains.
• You communicate physics clearly and turn advanced theory into real-world solutions.
• Background in research, analytical writing, debate, programming, or physics is preferred.
• Published in a peer-reviewed journal.
• English proficiency C1 and above with excellent writing skills.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality.

Your Profile

• You hold a MS or PhD in Math/Stats or a related field in one of the top 100 universities.
• Expert at fact-checking information using public sources across multiple domains.
• You communicate mathematics clearly and turn advanced theory into real-world solutions.
• Background in research, analytical writing, debate, programming, or mathematics is preferred.
• English proficiency C1 and above with excellent writing skills.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.
• For PhD holderss: you have developed or critically reviewed complex math content (e.g., problem banks, proofs, textbook sections, research notes).

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

We’re seeking chemists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check chemical information across; write high-quality chemical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on chemical correctness and reasoning quality.

Your Profile

• You hold an MS or PhD in Chemistry or a related field in a high ranking university.
• Expert at fact-checking information using public sources across multiple domains. You communicate chemistry clearly and turn advanced theory into real-world solutions.
• English proficiency C1 and above with excellent writing skills.
• Background in research, analytical writing, debate, programming, or chemistry is preferred.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.
• You enjoy applying chemical reasoning to evaluate and improve AI capabilities.
• For PHD holders: you have developed or critically reviewed complex chemistry content (e.g., problem banks, proofs, textbook sections, research notes).

Key Responsibilities

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Role Description

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for a Python Quality Assurance Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality Python content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Python expertise: At least 7+ years of experience in Python, including real-world projects or production systems.
• Frameworks & APIs: Proficiency with popular Python frameworks such as Django, Flask, or FastAPI, and experience with RESTful API and GraphQL design and implementation.
• LLM training experience: Hands-on experience with LLM projects, data annotation, or AI training, preferably in QA or lead roles.
• English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical excellence: Strong analytical skills and the ability to review complex code and tasks systematically.
• Attention to detail: Commitment to precision and thoroughness in the training and review process; ability to produce high-quality work with no supervision.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Quality: Conduct regular spot checks on Python tasks and code submissions, provide clear and constructive feedback to trainers, and escalate issues when necessary.
• Communication: Keep trainers and QAs updated on Discord about new items or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve key documents such as coding guidelines, style guides, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to ensure they understand the guidelines, expectations, and Python quality standards.

Role Description

re you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for a MLTechnical Quality Assurance Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern machine learning systems with the responsibility of maintaining high-quality Python and ML content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the technical quality and consistency of ML-related training data, code, and evaluations, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field
• Python & ML experience: Solid professional experience with Python for machine learning, including end-to-end workflows (data preparation, model training, evaluation, and deployment or experimentation).
• ML stack: Strong hands-on experience with NumPy, pandas, scikit-learn, and at least one deep learning framework such as PyTorch or TensorFlow.
• Analytical & problem-solving skills: Exceptional ability to understand and evaluate ML code, experiments, and metrics, quickly identify issues, and propose clear improvements.
• Written communication: Excellent written communication skills in English, able to explain technical feedback, reasoning, and recommendations clearly to a distributed team.
• Managing ambiguity: Comfortable working with incomplete or evolving ML specifications and able to clarify complex technical requirements effectively.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged, aligned with standards, and supported.

Key Responsibilities

• Technical quality review: Review Python/ML tasks and code submissions (scripts, notebooks, experiments) for correctness, clarity, model design, and alignment with project guidelines; provide clear and constructive feedback and escalate critical issues when needed.
• Communication: Keep trainers and QAs updated on Discord about new items, ML-related clarifications, or project changes, and respond to their technical and process questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve technical documentation such as ML coding guidelines, experiment checklists, best-practice examples, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to walk them through ML quality standards, common issues, and review expectations.

Role Description

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for a Java Tech Quality Assurance Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality Java content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Java expertise: At least 7+ years of professional experience in Java, with a focus on code quality, code review, or technical evaluations.
• Technical expertise: Strong expertise in Java programming, debugging, understanding different design and implementation approaches, and assessing code for robustness, readability, and maintainability.
• LLM training experience: Hands-on experience with LLM projects, data annotation, or AI training, preferably in QA or lead roles.
• English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical & problem-solving skills: Exceptional analytical and problem-solving skills, with the ability to identify root causes and evaluate different solution options.
• Attention to detail: Commitment to precision and thoroughness in the training and review process; ability to produce high-quality work with no supervision.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Code quality review: Conduct regular reviews of Java solutions and tasks submitted by trainers, checking for correctness, clarity, code style, structure, and maintainability; provide clear and constructive feedback, and escalate critical issues when necessary.
• Technical evaluation: Assess Java code for algorithmic soundness, performance implications, and best practices (error handling, modularity, readability), and ensure alignment with project guidelines and standards.
• Communication: Keep trainers and QAs updated on Discord about new items, review expectations, or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve key documents such as Java coding guidelines, review checklists, example solutions, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to walk them through Java quality standards, common issues, and review expectations.

Role Description

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for an Italian-speaking Quality Assurance Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality Italian content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Linguistics, Communication, Journalism or related field (strong writers/editors from other backgrounds also welcome).
• Italian mastery: Exceptional written Italian with excellent grammar, syntax, and stylistic flexibility (formal, neutral, conversational).
• LLM training experience: Hands-on experience with LLM projects, preferably in QA or lead roles.
• English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical & detail-oriented: You notice inconsistencies, edge cases, and guideline gaps, and are comfortable working with detailed instructions.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Quality: Conduct regular spot checks on items, provide clear and constructive feedback to trainers, and escalate issues when necessary.
• Communication: Keep trainers and QAs updated on Discord about new items or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively reach out to inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve key documents such as style guides, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to ensure they understand the guidelines and expectations.

Role Description

Are you ready to take on a pivotal role in ensuring the highest standards in AI training? We are looking for an HTML/CSS Data Training Technical QA Lead to help ensure consistently high standards in our front-end–focused AI data training projects. This role combines the opportunity to work with modern web technologies with the responsibility of maintaining high-quality HTML/CSS content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and consistency of front-end code and web-related training data, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Computer Science, Web Development, or a related field.
• Front-end experience: At least 5+ years of experience in HTML/CSS, building and maintaining real-world user interfaces or web pages.
• JavaScript & frameworks: Experience with JavaScript, CSS, and front-end frameworks/libraries such as React, Vue, or Angular.
• Front-end best practices: Strong understanding of semantic HTML, responsive design, CSS structuring, and basic accessibility and performance considerations.
• English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical excellence: Strong analytical skills and the ability to review complex code and tasks systematically.
• Attention to detail: Commitment to precision and thoroughness in the training and review process; ability to produce high-quality work with no supervision.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Code quality review: Review HTML/CSS tasks and code submissions for correctness, semantic markup, responsiveness, readability, and alignment with project guidelines; provide clear and constructive feedback and escalate critical issues when needed.
• Front-end evaluation: Assess layout structure, CSS organization, component structure, and basic accessibility and performance considerations to ensure high-quality, realistic front-end examples.
• Communication: Keep trainers and QAs updated on Discord about new items, clarifications, or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively communicate with inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve documentation such as HTML/CSS style guides, component examples, review checklists, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to walk them through front-end quality standards, common issues, and review expectations.

Role Description

We are looking for a French Data Trainer Lead to help ensure consistently high standards in our AI data training projects. This role combines the opportunity to work with modern AI systems with the responsibility of maintaining high-quality French content, making it a strong fit for people who are passionate about both technology and precision. You will play a crucial role in guaranteeing the quality and efficiency of our AI training processes, ultimately contributing to the success of our projects.

Your Profile

• Academic / professional background: Bachelor’s or Master’s degree in Linguistics, Communication, Journalism or related field.
• French mastery: Exceptional written French with excellent grammar, syntax, and stylistic flexibility (formal, neutral, conversational).
• LLM training experience: Hands-on experience with LLM projects, preferably in QA or lead roles.
• English proficiency: Minimum C1 English for documentation, async communication, and collaboration with a global team.
• Analytical & detail-oriented: You notice inconsistencies, edge cases, and guideline gaps, and are comfortable working with detailed instructions.
• Leadership mindset: Comfortable working independently, giving feedback, and keeping the trainer/QA community engaged and supported.

Key Responsibilities

• Quality: Conduct regular spot checks on items, provide clear and constructive feedback to trainers, and escalate issues when necessary.
• Communication: Keep trainers and QAs updated on Discord about new items or project changes, and respond to their questions in a timely and professional manner.
• Activation management: Monitor trainer/QA activity and proactively reach out to inactive contributors to understand blockers and encourage re-engagement.
• Documentation: Create, maintain, and improve key documents such as style guides, trackers, FAQs, honeypots, and related documents.
• Onboarding & training: Schedule, organize, and run onboarding and training calls with trainers/QAs to ensure they understand the guidelines and expectations.