Finance AI Model Evaluation and Research Analyst (English)

Evaluate AI model responses to finance questions and scenarios, using your professional judgment to identify accurate, useful answers and weak or misleading ones.

The duties and qualifications are described for finance AI model evaluation, so review them before applying.

• Assess work involving investment analysis, forecasting, revenue builds, corporate finance, asset management, and risk management.
• Create scoring rubrics for finance tasks, including deal analysis and mergers and acquisitions assessments.
• Write clear feedback and work with AI researchers and finance experts on evaluation methods.

• Location: Remote and open worldwide.
• Commitment: 20+ hours per week. The initial engagement is about one month, with a possible extension based on performance and project needs.
• Work type: Freelance contract.
• Required: At least two years of experience in one or more relevant areas, including capital markets, portfolio management, research, trading, quantitative analysis, investment banking, private equity, venture capital, growth equity, FP&A, accounting, or financial consulting.
• Required: Strong financial knowledge in your area of expertise, excellent written English, clear communication, critical thinking, and problem-solving skills.
• Helpful: A CFA designation or progress through CFA Level I, II, or III, a CA or CPA, or an MBA in Finance. Previous AI or data-labeling experience is not required.

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

AI training work uses human judgment to evaluate and improve AI systems, including by rating model responses and writing feedback. Finance expertise helps people assess whether answers are sound and useful in specialized financial tasks.