Open AI training and model evaluation roles that call for AI Evaluation expertise, gathered from 10 platforms. Part of Data & Machine Learning.
Pay figures cover the 637 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This remote contract role involves checking the accuracy of statements produced by AI systems by researching them against reliable sources. The work spans many subjects, from science and history to current events, and suits people with strong research habits and a careful, skeptical approach. No specific academic background or prior AI experience is required.
This contract role asks mathematicians to turn informal proofs into machine-checkable Lean 4 code, helping AI systems learn to reason about formal mathematics. It suits researchers with strong proof-writing backgrounds who enjoy structuring arguments for proof assistants and examining where automated provers fail.
This contract role asks active retail investors and traders to share their hands-on market experience with an AI research team. The work covers reviewing and labeling trading content, and writing explanations of how everyday investors think about risk and trade execution. It suits people who regularly trade stocks, ETFs, crypto, or derivatives and can explain their reasoning clearly in writing.
This role asks experienced revenue and sales operations professionals to design realistic problems that test AI agents on reconciling bookings, CRM, order, and communication data into one defensible answer. The work covers writing task prompts, scoring rubrics, and task environments, then solving and calibrating each task against AI models. It suits practitioners who know enterprise sales systems and can define checkable standards for a correct answer.
This remote contract role asks you to build and refine MuJoCo simulation environments that teach AI agents locomotion, manipulation, and multi-agent coordination. It is aimed at experienced robotics and machine learning practitioners who are comfortable with physics simulation, reinforcement learning, and robot control.
This contract role centers on building and refining MuJoCo physics simulation environments where AI agents learn locomotion, manipulation, and multi-agent coordination. It suits experienced robotics and machine learning practitioners who work on reinforcement learning, robot control, and simulation debugging, mostly on their own in an asynchronous, remote setting.
This contract role centers on building MuJoCo physics simulations where AI agents practice locomotion, manipulation, and multi-agent tasks. It suits experienced robotics and machine learning practitioners who can design reinforcement learning setups, tune reward functions, and debug contact dynamics. The work is fully remote, asynchronous, and paced by milestones.
This contract role centers on building MuJoCo physics simulation environments and training reinforcement learning agents to carry out robotic tasks such as locomotion and manipulation. It suits experienced robotics and machine learning practitioners who are comfortable with physics simulation, policy training and robot control, and who can work independently on milestone-based projects.
This remote contract role centers on building physics simulation environments in MuJoCo that teach AI agents to move and manipulate objects. It suits experienced practitioners who combine robot control, reinforcement learning, and physics simulation expertise.
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 remote contract role asks experienced Rust engineers to review and critique AI-generated systems code, focusing on memory safety, concurrency, and performance. The work also includes building tooling and backend services for large-scale data validation. It suits seasoned Rust developers who want flexible, task-based work on their own schedule.
This remote contract role asks senior Rust engineers to review and evaluate Rust code generated by AI models, checking memory safety, concurrency correctness and performance. Engineers also build high-performance tooling and backend services for large-scale data validation. It is aimed at experienced systems programmers who want self-directed technical work.
This remote hourly contract asks experienced revenue operations and sales operations professionals to build realistic tasks that test AI agents on bookings, account reconciliation and fulfillment work. The author writes prompts and scoring rubrics, sets up task environments, then solves and calibrates each task against AI models. It suits people with hands-on enterprise B2B sales or revenue operations experience.
This remote, hourly contract involves judging how relevant, accurate, and useful search results, AI-generated answers, and content recommendations are, using structured rubrics. It suits people with good general knowledge, sound judgment, and strong English writing who can work independently, with no technical or AI background needed.
This contract role asks security operations professionals to test how AI systems reason about cybersecurity incidents. The work involves reviewing realistic alerts and investigation scenarios and judging whether AI analysis matches how experienced SOC analysts actually work. It suits people with hands-on SOC or incident response experience who can work independently on their own schedule.
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 remote, hourly contract involves labeling and reviewing clinical data, including electronic health records, clinical notes, lab results and medical codes, to help train AI systems used in healthcare. Work includes quality assurance checks, flagging ambiguous cases and giving expert feedback on model outputs. It is aimed at clinicians, health informaticists and healthcare data professionals who can work independently on a flexible schedule.
This contract role asks engineers to write and review step-by-step reasoning traces that show how a language model should plan, use tools, and reach decisions. The output becomes training data meant to make AI systems more reliable on complex, real-world tasks. It suits experienced machine learning engineers and researchers who can work remotely and on their own schedule.
This freelance role asks senior machine learning practitioners to write step-by-step reasoning traces that record how an expert plans, uses tools, and decides through hard technical problems, so that large language models learn to reason the same way. It suits people with deep ML or AI systems backgrounds who can explain their thinking clearly and work independently on open-ended tasks.
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.
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FAQ
679 AI Evaluation AI training jobs are open on SideHustler today. 26 were posted in the last 7 days. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 637 open roles that publish an hourly rate in USD, pay runs from $8 to $400 per hour, with a median of $75. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (253), Mercor (196), micro1 (139), DataAnnotation (47), Terac (13), Vetto (11), Handshake AI (7), Mindrift (6), xAI (4) and Ethos (3). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are AI Evaluation, Data Annotation, Content Annotation, Code Quality & Review, Multilingual Expertise. Each listing states its own requirements.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
