1234 open jobs
Open roles in AI training, model evaluation, RLHF and data labeling for domain experts. Search, filter, then apply directly on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac.
This contract role is for senior engineers who build the backend systems behind AI model development. The work covers high-performance pipelines, annotation tooling, and evaluation infrastructure that support model training and benchmarking. It is aimed at engineers with several years of production experience in Go, Rust, Python, or C++ who are fully remote and available 20 to 40 hours per week.
This remote contract role asks experienced software engineers to assess and rank code produced by AI models. The work involves judging correctness, efficiency and maintainability, then writing structured feedback that helps coding assistants learn what good code looks like. It suits developers who prefer flexible, independent, task-based work.
This is a remote hourly contract for a senior Rust engineer who will design and maintain high-performance data pipelines, annotation tooling, and evaluation systems used to train AI models. The work is production-focused, involves backend and tooling services, and suits engineers who can work independently with research and data teams.
Backend engineers will evaluate how AI models reason about system design, data modeling, and API contracts, identifying failures like race conditions and N+1 queries that only surface under real load. The role involves stress-testing model-generated backend code and writing correct solutions when models fall short, with explicit attention to scaling and consistency trade-offs.
Evaluate how AI models handle DevOps tasks such as CI/CD pipelines, infrastructure-as-code, and cloud operations. Identify failures in automation, security configurations, and deployment processes, then write correct solutions that a platform engineer would trust.
This role involves evaluating AI-generated responses to health and medical questions for clinical accuracy and safety. The expert identifies errors in reasoning, missed contraindications, unsafe advice, and writes correct answers grounded in current clinical practice, ensuring AI models provide guidance that real clinicians would trust.
You will evaluate AI-generated code by running models on real engineering tasks, analyzing their output against production standards, and stress-testing them to find failures. This role is ideal for experienced software engineers who want to contribute to AI model improvement through rigorous code review and red-teaming.
This is a paid evaluation role for database engineers who will design realistic tasks that test how well AI agents handle database work. Each task is a self-contained problem with a reproducible environment, a working reference solution, tests, and grading criteria that separate robust engineering from code that only looks correct. It is aimed at experts with deep database-engine internals experience, not at DBA, SQL analytics, or ETL-only profiles.
Posted October 6, 2026
You will contribute to training next-generation AI models by creating realistic coding tasks and implementing deterministic verifiers. This flexible contracting role is aimed at experienced backend engineers capable of generating relevant technical challenges and automatically evaluating solutions.
Posted October 6, 2026
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Deep expertise in network engineering, legacy/enterprise systems and advanced programming languages (CUDA, C++, Rust, MLOps, COBOL, ABAP, Scala, Kotlin, OCaml).
You will help train AI models by creating realistic programming tasks and deterministic validators. This flexible contractor role will allow you to leverage your backend development experience to design relevant challenges for AI to solve.
Posted October 3, 2026
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You will contribute to training AI models by applying your expertise in cybersecurity and software development. You will analyze vulnerabilities, fix bugs, implement features and perform security audits on various projects. This role is aimed at experienced engineers in information security and backend development.
Posted September 21, 2026
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You will create realistic programming tasks and verifiers to train AI systems, leveraging your expertise in backend development and your awareness of software security issues. This role is for experienced engineers in service architecture and security best practices, with no AI prerequisite.
Posted September 20, 2026
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This role involves creating realistic programming problems and implementing checkers to train next-generation AI systems. You will leverage your backend development expertise to design coding tasks involving feature implementation and bug fixes, as well as to automatically validate solutions proposed by AI.
Posted September 20, 2026
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This role involves contributing to an AI training project as an open source software engineer. You will explore unfamiliar repositories, implement and debug front-end and back-end components, and evaluate patches generated by AI. The ideal candidate is an experienced developer with significant contributions to established open source projects.
Posted September 16, 2026
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This remote contract role allows you to contribute to an AI training project as a senior full-stack engineer. The tasks involve developing, debugging, evaluating, and refactoring software components covering both front-end and back-end, as well as translating code from one language to another.
Posted September 16, 2026
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This role enables you to analyze and optimize diverse codebases, as well as design programming tasks to evaluate generative AI models. It is intended for experts in algorithmics and competitive programming problem-solving, capable of working autonomously and providing high-quality technical feedback.
Posted September 14, 2026
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You will contribute to the development and improvement of open source projects by writing high-quality code, fixing complex bugs and optimizing existing codebases. This remote role is aimed at experienced software engineers who master multiple programming languages and want to apply their competitive programming skills to shape next-generation AI systems.
Posted September 14, 2026
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This role consists of creating reinforcement learning environments to test the capabilities of AI models in solving complex software engineering problems, including code correction, feature creation, and performance optimization. As an expert software engineer, you will produce quality code examples, debugging strategies, and reproducible reference solutions. The role requires confirmed expertise in programming and an established presence in open source.
Posted September 7, 2026
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Create training environments and test cases to evaluate the capabilities of AI models in solving software engineering problems such as code correction, feature development, or performance optimization. This role is aimed at experienced software engineers with recognized expertise in at least one modern programming language.
Posted September 7, 2026
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FAQ
AI training, model evaluation, RLHF, red teaming, data labeling and expert review roles, in fields from software and data science to medicine, law, finance, languages and science.
They are done online. Some are limited to residents of certain countries: when the platform publishes that restriction, the listing shows it.
Usually not. Most roles ask for professional experience in your own field. Each listing states the experience the platform requires.
By the hour or by the task, by the platform that hires you. We show the pay only when the platform publishes it. It is not a guarantee of income or hours.
Apply now opens the official posting on Mercor, micro1, Turing, Ethos, Mindrift, DataAnnotation, Alignerr, Handshake AI, Surge AI, xAI, Vetto or Terac, where you complete the application. You need no account here. See how it works.
