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.
A physics expert will design and evaluate problems across multiple physics domains to help train and refine AI models. The role involves creating rigorous physics problems, developing detailed solutions, assessing AI responses for accuracy and reasoning quality, and providing feedback to improve AI systems' physics comprehension.
This role involves creating physics problems and evaluating AI-generated solutions to train and improve AI models' reasoning abilities. You will work remotely for an AI training platform, using your deep physics expertise to design rigorous problem sets and provide feedback on AI responses across undergraduate to graduate-level physics domains.
A finance specialist will evaluate and improve AI-generated accounting and financial content for accuracy against US GAAP, SEC reporting standards, and financial modeling best practices. The role suits experienced accountants seeking flexible, remote work evaluating AI outputs in their domain of expertise.
A finance professional creates realistic accounting task scenarios and scoring rubrics to train and evaluate AI agents on financial reconciliation work. The role combines deep accounting expertise with AI training task design, requiring the ability to author complex, numerically rigorous problems and validate their correctness.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect how professional analysts work. You will audit task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and improve clarity, applying deep expertise in financial analysis, Python, and version control.
This role involves auditing and refining AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. The ideal candidate combines deep financial expertise with Python and GitHub proficiency to review AI outputs, validate instructions, and edit code and documentation to meet professional standards.
This role involves reviewing and evaluating AI-generated financial analyses, models, and explanations to ensure technical accuracy and methodological soundness. Finance professionals with deep expertise in investment banking, equity research, corporate finance, or related fields will audit AI outputs, task instructions, and rubrics, then provide structured feedback to improve AI financial reasoning. The position is fully remote and flexible, requiring no prior AI experience.
This role involves reviewing and evaluating AI-generated financial and economic content to ensure conceptual accuracy and clarity. Finance lecturers and economists will assess explanations of complex topics like valuation, risk, and market behavior, providing structured feedback to improve AI outputs based on their teaching expertise.
This role involves reviewing and improving AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. Finance experts with Python skills will audit AI task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and meet professional standards.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect how professional analysts work. Finance experts with Python skills will audit task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix logic errors and improve clarity.
This role involves reviewing and improving AI-generated financial modeling tasks by auditing their accuracy and editing their instructions and code. You will work as a Finance Subject Matter Expert with Python and GitHub skills to ensure AI outputs match how real financial analysts actually work, validating everything from DCF analysis to financial statement interpretation.
This role involves reviewing and improving AI-generated financial modeling tasks to ensure they accurately reflect real professional analyst workflows. Finance experts with Python skills will audit AI task instructions, validate scoring rubrics, and directly edit code and documentation via GitHub to fix errors and clarify standards for concepts like DCF analysis, P&L interpretation, and valuation techniques.
This role involves reviewing and refining AI-generated financial modeling tasks to ensure they accurately reflect professional analyst workflows. Finance experts with Python and GitHub skills will audit AI task instructions, edit documentation and code via pull requests, and validate that AI outputs correctly apply financial concepts like DCF analysis and valuation techniques.
This role involves reviewing and evaluating AI-generated financial analyses, models, and explanations for accuracy and methodological soundness. Finance professionals with deep expertise in investment banking, equity research, corporate finance, or FP&A will audit task instructions, rubrics, and AI outputs while providing structured expert feedback to improve AI performance in financial modeling and analysis.
This remote, task-based contract asks finance professionals to review and check AI-generated financial content against the standards real analysts expect. The work involves validating ratios, statements and performance trends, and judging whether the AI's written analysis is accurate. It suits experienced financial analysts or accountants who are detail-oriented and can work independently, and no prior AI background is required.
This contract role asks a finance expert to review and improve tasks that teach AI to perform analyst work. The reviewer checks task instructions and scoring rubrics, then corrects them through GitHub pull requests. It suits finance professionals who also read and write Python and can work independently on task-based assignments.
This contract role asks a finance expert to audit and improve tasks that teach AI systems how professional analysts build financial models. The work involves checking task instructions and scoring rubrics, then fixing them directly in repository files through pull requests. It suits experienced analysts who also write Python and use GitHub comfortably.
This remote contract role asks finance professionals to audit and refine AI-generated financial modeling tasks so they match how working analysts actually operate. The work includes reviewing task instructions and scoring rubrics, then fixing the underlying Python scripts and Markdown files through GitHub pull requests. It suits experienced finance practitioners who are also comfortable with Python and Git-based collaboration.
This contract role involves reviewing AI-generated financial modeling tasks so they reflect how professional analysts actually work. It is aimed at finance specialists who can also read Python and work with GitHub, editing task files and scripts through pull requests. The work is remote, hourly and carried out independently within an asynchronous team.
This remote, task-based role asks experienced forestry and land management specialists to check how AI systems describe forest health, land use, and sustainable practices. The work involves reviewing scenarios and AI-generated answers, then pointing out factual errors, oversimplifications, and questionable recommendations. It suits professionals with several years of field experience who can work independently on their own schedule.
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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.
