Quantitative Analyst Expert

Review technical content created by AI models and assess whether it meets quantitative finance standards. You will also create examples based on professional workflows and rate responses for quality.

• Evaluate AI-generated work on derivatives pricing, time-series analysis, portfolio construction, and risk modeling.
• Compare model responses with quantitative best practices.
• Create expert examples and rank and label responses.

What it pays and takes

• Pay: $175 per hour.
• Hours: At least 20 hours per week; the work is fully asynchronous, so you choose when to work.
• Location: Fully remote and open to candidates in eligible countries.
• Language: Fluency in English.
• Requirements: An advanced degree in mathematics, statistics, physics, computer science, or quantitative finance, or equivalent experience.
• Requirements: At least two years of experience in quantitative research, trading, or risk modeling.
• Requirements: Fluency in Python, R, or C++ for quantitative work.
• Work arrangement: Contractor, part time.

Helpful background

Experience in a buy-side or sell-side setting, such as a hedge fund, proprietary trading firm, or bank, is helpful. A CFA charter, FRM certification, published research, or open-source quantitative work is also valuable.

How to apply

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training work involves people reviewing and creating examples that help AI systems give better answers. Roles that call for quantitative finance expertise pay for the judgment needed to assess technical work accurately.