The work
You will help evaluate and improve AI systems that work with quantitative finance. Your reviews should measure mathematical accuracy, technical rigor, and alignment with professional quantitative practice.
You will also create expert examples based on real professional workflows, then rank and label AI responses for quality.
- Evaluate AI-generated derivatives pricing analysis.
- Review time-series analysis, portfolio construction, and risk modeling.
- Compare model responses with quantitative finance best practices.
- Create expert demonstrations based on professional workflows.
- Rank and label responses for quality.
What it pays and takes
- Pay: $175 per hour.
- Schedule: 20 or more hours per week, with fully asynchronous work and flexibility to choose when and how much you work.
- Location: Fully remote and open to candidates in the countries listed for this role.
- Language: Fluent English.
- Education: An advanced degree in mathematics, statistics, physics, computer science, or quantitative finance, or equivalent experience.
- Experience: At least two years in quantitative research, trading, or risk modeling.
- Technical skills: Fluency in Python, R, or C++ for quantitative work.
- Helpful background: Buy-side or sell-side experience at a hedge fund, proprietary trading firm, or bank.
- Helpful credentials and work: CFA charter, FRM certification, published research, or open-source quantitative work.
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 systems that generate and evaluate content. People review model responses, create strong examples, and rate quality so AI systems improve, while specialists are needed for work that depends on fields such as quantitative finance.
Listed by OpenTrain AI. Details can change, so check the original posting before applying. View original posting