Investment Banking Analyst, AI Model Evaluation

Use investment banking judgment to review large language model responses about finance and help assess how well they reason through deal work.

• Evaluate responses on M&A deal analysis, LBO modeling, accretion and dilution analysis, and pitch book creation.
• Create assessment rubrics for deal structuring, DCF valuation, precedent transactions, comparable companies analysis, and due diligence.
• Identify strengths and weaknesses in model responses and work with AI researchers and finance experts on evaluation methods and benchmarks.

• Pay: $100 per hour.
• Schedule: Flexible, 20 or more hours per week.
• Location: Remote worldwide.
• Project length: About one month initially, with a possible extension based on performance and project needs.
• Bring strong knowledge of financial modeling, deal structuring, valuation methods, and corporate finance.
• Clear written English and the ability to explain complex financial reasoning are required, along with critical thinking and problem-solving skills.
• Prior AI training or model evaluation experience is not required.
• A CFA designation or progress through CFA Level I, II, or III, or an MBA in Finance, is helpful but not required.

OpenTrain is a platform where people find AI training projects and start applications. Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is work people do to help AI systems learn, such as reviewing model answers and judging their accuracy. This role calls for investment banking expertise to assess financial reasoning and help improve how models handle deal-related tasks.