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 asks specialists to design, build and refine MuJoCo physics simulation environments that train AI agents on locomotion, manipulation and multi-agent tasks. It suits experienced practitioners in reinforcement learning and robot control who can also document their results clearly. The work is remote with flexible weekly hours.
This freelance role centers on building high-fidelity physics simulations of robots, including accurate robot models, simulation environments, and pipelines that help robots learn to walk, grasp, and navigate. It suits engineers experienced with robotics simulators such as MuJoCo, Isaac Sim, or Gazebo who want to narrow the gap between virtual testing and real-world robot behavior. The work is hourly and remote, with written collaboration conducted in English.
This contract role asks specialists to write and review advanced materials science problems and to check how AI models reason about them. It is aimed at people with a master's or doctoral degree in materials science or a closely related field, who know semiconductor materials or molecular modeling well. The work is remote and done independently, on a flexible schedule.
This contract role centers on building and improving the Python data pipelines, annotation tools and evaluation systems used to train AI models. It is aimed at a senior engineer with at least five years of production Python experience and a strong full-stack and systems background, working remotely at 20 to 40 hours per week.
This contract role centers on designing, building and scaling production software that supports AI training, evaluation and deployment pipelines. It suits experienced backend engineers who can architect reliable systems, debug distributed infrastructure and work independently in an asynchronous, remote team.
This is a remote, hourly contract role for senior software engineers who will help build, test and improve autonomous AI coding agents. The work centers on judging whether AI-written code is correct, efficient, secure and well designed, and on finding where these agents fail. It suits experienced engineers who can read unfamiliar codebases and explain clearly why code works or breaks.
This remote contract role involves designing and building the software that measures how well AI models perform, including evaluation pipelines, automated testing harnesses, and internal dashboards and APIs. It suits senior engineers who have shipped production systems and want to work closely with AI research teams on reliable, repeatable evaluation tooling.
This remote contract role involves building coding benchmarks and data pipelines that test how well frontier AI models reason about, debug, and write software. It is aimed at senior software engineers with several years of professional experience who can work across large, multi-language codebases.
This contract role asks a senior software engineer to build and scale the backend infrastructure behind AI products, working closely with machine learning engineers and researchers. It suits experienced engineers who can work independently on production-grade services, data pipelines, and APIs.
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 freelance role asks you to write code and to evaluate code produced by AI models, helping make AI coding assistants more accurate and reliable. You will review AI outputs for correctness, efficiency, and security, then explain your judgments in clear written feedback. It suits experienced programmers who can work independently on a flexible, remote schedule.
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 contract role asks you to review code produced by AI models and to write backend solutions yourself, covering server-side logic and API design at several difficulty levels. It suits backend engineers who can judge code on correctness, efficiency and clarity and explain their reasoning in clear English. The work is fully remote and asynchronous, with a minimum of 15 hours per week.
This is a remote contract role building internal C tooling that supports data pipelines, annotation systems, and evaluation workflows for AI training. It is aimed at senior engineers with several years of production C experience who can also work across full-stack and interoperability tasks.
This contract role asks machine learning engineers to review and evaluate machine learning code generated by AI models, checking correctness, efficiency, scalability and clarity. Contractors also write their own ML solutions and explain modeling choices so that frontier AI systems improve at this work. It suits experienced ML practitioners who prefer fully remote, asynchronous, self-directed project work.
This contract role centers on building, reviewing, and improving production-grade Python code and data workflows that support AI development. It is aimed at senior engineers with at least four years of professional experience who can work independently, remotely, on task-based engineering problems.
This remote contract role involves running code written by AI, checking whether it behaves as intended, and recording bugs and quality issues in structured reports. It suits people who can read and run simple programs in at least one language and think logically, without needing a formal QA or computer science background.
This remote contract role asks structural and civil engineers to turn their practical know-how into AI training tasks. Each task is a focused engineering problem with a clear problem statement, a deterministic checker, and a verified reference solution. It suits practicing engineers who use tools such as OpenSees and know design codes, and no AI background is needed.
This role involves creating challenging engineering problems and solutions that test AI model capabilities in mechanical reasoning and design. You'll write problems from your specialty, solve them yourself, verify the answers, and evaluate how well AI systems perform on real engineering tasks like component sizing, failure analysis, and design validation.
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.
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.
