Finance & Research Analyst, AI Model Evaluation

You will evaluate large language model responses to finance questions and scenarios. Your feedback will help distinguish accurate, useful financial reasoning from weak or misleading answers.

The work covers areas such as capital markets, portfolio management, research, trading, quantitative analysis, investment banking, private equity, venture capital, growth equity, corporate finance, accounting, financial planning and analysis, asset management, risk management, and financial consulting.

• Assess model responses involving investment analysis, forecasting, revenue builds, corporate finance, asset management, and risk management.
• Create rubrics for evaluating work such as deal analysis and mergers and acquisitions assessments.
• Write structured feedback that explains complex financial judgments clearly.
• Work with AI researchers and other finance experts to shape evaluation methods, training approaches, and benchmarks.

This is a fully remote freelance opportunity.

• Schedule: Flexible commitment of 20 or more hours per week.
• Engagement: Approximately one month initially, with possible extension based on performance and project needs.
• Location: Open worldwide and fully remote.
• Experience: At least two years in capital markets, portfolio management, research, trading, quantitative analysis, investment banking, private equity, venture capital, growth equity, FP&A, accounting, or financial consulting.
• Skills: Strong financial knowledge, excellent written English, critical thinking, problem-solving, and the ability to explain nuanced financial decisions clearly.
• Helpful background: CFA Level I, II, or III progress or designation, CA, CPA, or an MBA in Finance.

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

AI training is the human work behind systems that answer questions, analyze information, and generate content. Contributors review model outputs and provide structured feedback so these systems become more accurate and useful, while people with professional expertise can help shape how AI performs in their field.