Use your trading expertise to evaluate how AI models reason about markets and trading decisions. You will help create clear standards for judging those responses.
- Assess model responses about execution strategies, market microstructure, order books, and position management.
- Create rubrics for trade sizing, risk and reward, technical analysis, and market impact.
- Evaluate trading and risk decisions across multiple asset classes.
- Work with AI researchers and finance experts on training methods, evaluation strategies, and benchmarks.
What it pays and takes
- Pay: $100 per hour.
- Hours: 20+ hours per week; the commitment is flexible.
- Location: Remote, open worldwide.
- Engagement: Freelance, part-time; the initial project is about one month, with a possible extension based on performance and project needs.
- Required: At least two years of professional trading experience in equities, fixed income, foreign exchange, commodities, or derivatives, gained at a bank, hedge fund, or proprietary trading firm.
- Required: Strong knowledge of market dynamics, execution algorithms, risk management, and trading strategies across asset classes.
- Required: Excellent written English and the ability to explain complex trading judgments clearly.
- Helpful but not required: CFA, FRM, Series 7 or 63, or an MBA in Finance. Prior AI experience is not required.
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 of assessing and improving model responses using examples and ratings. OpenTrain is a free platform where people can find AI training projects, build a profile, and apply.