Finance AI Task Builder and Model Evaluation Expert

You will turn real finance workflows into realistic tasks that test how well AI systems perform complex professional work. This includes creating the business context, financial data, reference documents, working files, instructions, deliverables, and standards used to judge the results.

• Build finance environments with business context, financial data, reference documents, and working files.
• Design multi-step tasks covering FP&A, corporate finance, valuation, forecasting, and financial modeling.
• Use agentic AI tools such as Claude Code, Cursor, Codex, or Claude Cowork to develop models, analyses, and supporting deliverables.
• Write clear task instructions and objective standards for evaluating professional-quality work.
• Review completed materials independently for accuracy, realism, and quality.

This is a remote, part-time contractor role for candidates in the United States, Canada, or the United Kingdom. Individual tasks take approximately three hours after approximately 15 hours of initial environment development.

• Pay: $60 to $120 per hour equivalent, paid per task.
• Location: Open to candidates in the United States, Canada, or the United Kingdom.
• Experience: At least five years of professional experience in FP&A, corporate finance, valuation, or financial modeling.
• Finance background: Direct ownership of substantive financial models, analyses, and business deliverables.
• AI tools: Hands-on experience using agentic AI tools for substantive work.
• You should be able to turn complex finance workflows into realistic scenarios, files, and evaluation criteria.
• Helpful experience includes work at a leading bank, private equity firm, or Fortune 500 corporate development or finance team.
• Transaction-related financial analysis, review-standard development, training or playbook writing, benchmark development, and prior AI evaluation experience are also relevant.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including writing tasks, creating models, and rating AI outputs. Finance experts are needed because they can judge whether the work is accurate, realistic, and useful in professional settings.