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Role Description

As an Arabic/English Bilingual Expert you will review AI-generated Arabic and English responses and/or generate high-quality bilingual training content, evaluating reasoning quality and step-by-step problem-solving while providing 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 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 is an hourly paid, fully remote contractor role with flexible work-from-anywhere hours. This job is with SME Careers (a subsidiary of SuperAnnotate), a fast-growing AI Data Services company providing 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 Linguistics, Translation, Arabic Language, Communications, Journalism, or a related field.
• Native or near-native Arabic proficiency with strong writing and editing skills across Modern Standard Arabic and at least one major dialect (Egyptian Arabic preferred).
• Minimum C1 English proficiency (reading and writing) for bilingual evaluation and instruction adherence.
• 3+ years of professional experience in translation, localization, editorial QA, content quality, or linguistic review (or equivalent).
• Excellent attention to detail and ability to apply detailed rubrics consistently in high-volume, hourly contractor work.
• Strong fact-checking habits and comfort validating claims using reputable sources when required by task guidelines.
• Ability to identify reasoning gaps, methodological errors, and unclear explanations—even when language is fluent.
• Comfort working independently in a remote, asynchronous environment with reliable availability and communication.
• Prior experience with AI data training, annotation, or evaluation workflows is strongly preferred.
• Familiarity with Arabic localization conventions for MENA (terminology, formatting, cultural nuance) 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. (English proficiency required: Minimum C1)
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model’s accuracy, fluency, and contextual relevance. (English proficiency required: Minimum C1)
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases. (English proficiency required: Minimum C1)

Role Description

In this hourly, remote contractor role as a Legal Expert, you will review AI-generated legal analyses and/or generate expert legal content, evaluating reasoning quality and step-by-step issue-spotting while providing precise written feedback. You will assess answers for accuracy, clarity, and adherence to the prompt; identify errors in legal methodology or doctrine; fact-check citations and stated rules; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your legal expertise directly helps improve the world’s premier AI models by making their legal reasoning more accurate, reliable, and clearly explained.

Your Profile

• Bachelor’s degree (or higher) in Law (JD/LLB), Legal Studies, Public Policy, or Political Science, with strong grounding in Constitutional Law, Contracts, Torts, Criminal Law, Civil Procedure, and Regulatory/Administrative Law.
• 5+ years of professional experience in Law, Legal Studies, Public Policy, or Political Science.
• Strong legal reasoning and issue-spotting skills, including statutory interpretation, case analysis, and translating facts into elements and defenses.
• Fluent in compliance concepts, rights & obligations analysis, and policy frameworks; able to identify missing facts and assumptions that change outcomes.
• Exceptional attention to detail when checking rule statements, citations, jurisdictional relevance, procedural posture, and logical consistency; Minimum C1 English proficiency.
• Able to write clear, structured feedback that explains errors and the correct reasoning path without unnecessary verbosity.
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Previous experience with AI data training/annotation, expert review, legal editing, or QA is strongly 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, remote contractor Senior Finance Specialist role, you will review AI-generated finance analyses and/or generate expert finance content, evaluating reasoning quality and step-by-step problem-solving while providing precise written feedback. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify methodological or conceptual errors; fact-check financial claims and assumptions; write high-quality explanations and model solutions; and rate and compare multiple responses based on correctness and reasoning quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your finance expertise directly helps improve the world’s premier AI models by making their financial reasoning more accurate, reliable, and clearly explained.

Your Profile

• Bachelor’s degree (or higher) in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance (including coursework in Micro/Macro, Corporate Finance, Investments, Econometrics, and Accounting).
• 5+ years of professional experience in Finance, Economics, Accounting, Business, Financial Engineering, or Quantitative Finance.
• Strong command of financial statements, valuation (DCF and multiples), time value of money, and markets/instruments.
• Confident in risk/return reasoning, basic macro & microeconomic intuition, and financial modeling logic (assumptions, drivers, sensitivities, consistency checks).
• Able to rigorously review and explain reasoning, identify methodological errors, and fact-check claims with high attention to detail; Minimum C1 English proficiency.
• Comfortable applying structured sanity checks (conservation-style checks for finance: reconciliation, sign/units consistency, boundary cases, and plausibility bounds).
• Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
• Previous experience with AI data training/annotation, expert review, or editorial QA is strongly 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. 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 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.

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.

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.

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 Linguistic 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 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.