Equity Research Analyst, AI Evaluation

Use your financial research judgment to assess how well AI systems handle equity research tasks. You will review the quality, reasoning, and usefulness of model responses.

• Evaluate responses about equity valuation, sector analysis, earnings estimate modeling, and investment theses.
• Create assessment rubrics for DCF modeling, comparable company analysis, industry research, and initiating coverage reports.
• Work with AI researchers and finance experts on training methods, evaluation strategies, and benchmarks.

What it pays and takes

• Pay: $100 per hour.
• Schedule: 20+ hours per week; flexible freelance work.
• Location: Remote, open worldwide.
• Engagement: Expected to last about one month, with a possible extension based on performance and project needs.
• Experience: At least two years in equity research, credit research, or sell-side or buy-side research.
• Skills: Strong knowledge of financial statement analysis, valuation methods, sector dynamics, and investment recommendation frameworks; excellent written English, critical thinking, problem-solving, and ability to explain financial judgments clearly.
• Helpful but not required: A CFA designation at any level or an MBA in Finance. Prior AI experience is not required.

How it works

OpenTrain is a platform for finding AI training work and building a profile. Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work uses human judgment to assess and improve AI systems. People with finance research expertise are paid to evaluate model responses and help build useful benchmarks.