You will review large language model responses about portfolio management and judge whether the financial reasoning is sound. You will also create evaluation guides and work with AI researchers and finance experts on training methods and benchmarks.
- Evaluate responses about asset allocation, risk-adjusted returns, and portfolio optimization.
- Create rubrics for performance attribution, benchmark comparisons, factor analysis, and rebalancing decisions.
- Assess whether model outputs show sound portfolio management reasoning.
What it pays and takes
- Pay: $100 per hour.
- Schedule: 20+ hours per week; the project is expected to last about one month, with a possible extension.
- Location: Remote and open worldwide.
- Language: Fluent written English.
- Skills: Knowledge of modern portfolio theory, asset allocation, risk management, and investment performance measurement. Clear writing, critical thinking, problem-solving, and the ability to explain financial judgments are also required.
- Helpful but optional: CFA or CAIA certification, or an MBA in Finance.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training uses human feedback to help models produce more useful answers. In this role, your portfolio management knowledge helps evaluate and improve how AI handles financial reasoning.