Finance AI Model Evaluation Expert

The Work

You will assess how well language models handle finance questions and decisions. Your feedback will help identify incomplete, inaccurate, or unsupported answers and improve model quality.

You will work with AI researchers and other finance experts to define useful evaluation standards, training methods, and benchmarks.

• Evaluate model responses across specialized finance topics.
• Create rubrics for areas such as deal analysis and M&A assessment.
• Use financial judgment to separate strong reasoning from errors or unsupported conclusions.
• Help shape evaluation strategies and benchmarks for AI systems.

What It Pays And Takes

This is a fully remote, part-time freelance contractor role for candidates in the United States. The project is expected to last about one month, with a possible extension.

Previous AI experience is not required. The role is listed as entry level, and it requires practical finance experience and strong written English.

• Pay: $100 per hour.
• Time: 20 or more hours per week.
• Location: Open to candidates in the United States.
• Experience: At least two years in one or more finance disciplines.
• Finance backgrounds may include capital markets, portfolio management, research, trading, quantitative finance, investment banking, private equity, venture capital, growth equity, FP&A, accounting, or financial consulting.
• Knowledge of investment analysis, forecasting, revenue builds, corporate finance, asset management, and risk management.
• Excellent written English communication.
• Helpful but not required: CFA, CA, CPA, or an MBA in Finance.
• Helpful experience includes deal analysis, M&A assessment, financial research, and other specialized finance decision-making.

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 better artificial intelligence. People review and rate model responses, create examples, and set standards so AI systems can produce more accurate and useful results.

Specialist knowledge matters because finance experts can judge reasoning, calculations, and decisions that general reviewers may not be able to assess.