Open AI training and model evaluation roles that call for Valuation expertise, gathered from 5 platforms. Part of Finance & Accounting.
Pay figures cover the 34 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 role involves helping train and evaluate AI models for business applications by designing complex case studies, authoring gold-standard solutions, and auditing AI reasoning across corporate finance and strategy scenarios. The position is designed for MBA-qualified professionals who can stress-test AI systems on real-world business challenges and ensure outputs meet executive-level standards.
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 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 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 contract role involves auditing and improving AI-generated financial modeling tasks so they reflect how professional analysts actually work. The work includes reviewing task instructions and scoring rubrics, then fixing them directly in repositories through GitHub pull requests. It is aimed at finance professionals who also read and write Python and are comfortable with GitHub workflows.
This remote, task-based contract asks finance professionals to review and improve investment insights produced by AI systems. The work covers company analysis, macro and sector assessment, and structured write-ups of opportunities and risks. It is aimed at people with investment research, strategy, or consulting backgrounds and needs no prior AI experience.
This role involves evaluating and correcting AI-generated equity research notes on public companies, ensuring that financial models, valuations, and investment theses are internally consistent and meet professional standards. Candidates will review estimates and write-ups, reconcile discrepancies between models and narratives, and produce publishable research notes with sell-side rigor.
This role involves evaluating financial models built by AI systems on real corporate scenarios, checking the validity of valuation assumptions and accounting mechanics, and writing authoritative analyses that demonstrate sound finance practices. You will stress-test three-statement models, DCF analyses, and working capital logic to identify errors and provide corrections that meet professional standards.
Review and evaluate AI-generated investment banking deal analysis, including valuation models, transaction mechanics, and M&A structures. Provide expert feedback and corrections to train AI models on real banking standards and practices.
Evaluate investment theses and portfolio allocations built by AI models, identifying risks and construction flaws that algorithms miss. Write detailed assessments that teach AI systems how professional capital allocation actually works. This role is for experienced investment professionals who can catch what models overlook.
Evaluate and critique AI-generated private equity LBO models and financial diligence by underwriting deals as if personal capital were at stake. Assess entry and exit multiples, debt structures, and return drivers, then provide written feedback that teaches AI systems how real private-market transactions are analyzed. This role is for finance professionals with transaction experience who can identify model shortcomings and articulate investment-committee-level judgments.
Evaluate AI-generated startup diligence reports and market analyses to distinguish venture-scale opportunities from small businesses. Write investment memos that teach AI models how early-stage funding decisions are actually made, focusing on market sizing, unit economics, and team assessment.
This contractor role asks equity research experts to help train AI systems on advanced financial analysis, modeling, and sector insights. The work centers on reviewing datasets and writing evaluations that reflect how professional analysts study companies and sectors. It suits professionals with strong domain knowledge, and no prior AI experience is required.
Posted October 7, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
This job involves improving the quality and clarity of financial presentations intended for investors by restructuring PowerPoint slides, creating compelling data visualizations, and refining content to ensure it is accurate and persuasive. You will review and refine investment materials to ensure compliance with best practices in financial communication. This contribution aims to train next-generation AI systems through high-quality examples from the real world.
Posted September 25, 2026
Referral link to micro1's job list: search for this role there. Open this exact job
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FAQ
35 Valuation AI training jobs are open on SideHustler today. 1 was 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 34 open roles that publish an hourly rate in USD, pay runs from $40 to $350 per hour, with a median of $83. These are the rates the platforms publish, not a guarantee of income or hours.
Alignerr (12), Mercor (9), micro1 (7), DataAnnotation (6) and Vetto (1). You apply on the platform itself, which handles screening, contracts and payment.
The most requested areas of expertise on these listings are Valuation, Financial Modeling, Financial Analysis, AI Evaluation, Equity Research. 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.
