Venture Capital Analyst, AI Model Evaluation

Review large language model responses on venture capital topics and judge whether the analysis is accurate, complete, and useful.

• Create rubrics to assess model responses on early-stage company diligence, funding rounds, and venture fund portfolios.
• Review startup evaluations, funding round structures, cap tables, and market analysis against venture capital standards.
• Work with AI researchers and finance specialists on training methods, evaluation plans, and performance benchmarks.
• Explain the strengths, weaknesses, and gaps in model responses clearly.

What it pays and takes

• Pay: $100 per hour.
• Location: Remote and open worldwide.
• Time: 20+ hours per week, with a flexible schedule. The project is expected to last about one month, with a possible extension based on project needs and performance.
• Required experience: At least two years in venture capital, including seed or Series A-C investing, VC fund operations, or startup advisory.
• Required knowledge: Startup valuation, term sheet negotiation, cap table mechanics, and venture fund economics.
• Required skills: Excellent written English and the ability to explain complex financial judgments clearly.
• Prior AI experience is not required. CFA study or certification, an MBA in Finance, or experience at a high-growth startup is helpful but optional.

How it works

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

About AI training work

AI training is the human work behind AI systems: people review model answers and prepare examples that help models improve. OpenTrain helps people find AI training projects across the industry, build a profile, and apply; creating an account is free.