Create high-quality finance training data that helps AI models learn practical financial judgment. You will build problem sets and cases, explain your reasoning clearly, and review model-generated answers for accuracy and realism.
- Create financial problem sets and cases based on real-world investment logic.
- Explain valuation, financial modeling, and deal reasoning step by step.
- Evaluate model-generated outputs for accuracy, structure, and realism.
- Work with project leads and other experts to keep the content clear and consistent.
What it pays and takes
This is a remote, part-time contractor project for finance experts at the undergraduate or early-career level. The work is flexible and asynchronous, with about 10 to 15 hours expected each week when the project is active.
- Pay: $50 per hour.
- Hours: About 10 to 15 hours per week when active, with a flexible schedule.
- Location: Remote and open to candidates in the countries specified for this project.
- Language: Professional fluency in English.
- Required: A completed internship at a bulge bracket or elite boutique investment bank, top-tier private equity firm, or hedge fund.
- Required: Ability to turn complex finance topics into structured, step-by-step explanations.
- Required: Very strong attention to analytical and writing detail.
- Helpful: Current junior or senior undergraduate study in finance, economics, or a related field.
- Helpful: Experience creating or reviewing financial models, transaction comparables, or valuation summaries.
- Helpful: Interest in financial technology, AI, or automation.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work is the human side of building artificial intelligence. Contributors create examples, write explanations, and review model responses so AI systems can produce more accurate and useful results. Finance experts are needed because strong financial judgment helps models handle valuation, modeling, and deal analysis more reliably.