Quantitative Finance Researcher for AI Evaluation

Quantitative Finance Researchers apply their mathematical finance, risk modeling, and quantitative methods expertise to evaluate AI-generated outputs and produce expert-level training data. You will review AI responses for technical accuracy and relevance, and provide detailed feedback that improves AI understanding of quantitative finance research and methodology. This engagement is project-based and can be done alongside other commitments.

• Evaluate AI-generated content for correctness, clarity, and relevance to quantitative finance topics.
• Create expert-level training examples and annotations derived from academic and research knowledge.
• Use domain expertise in mathematical finance and risk modeling to identify errors, gaps, and opportunities to improve model outputs.
• Provide clear, written feedback and rationales that guide AI model improvements.

• PhD or Master in Quantitative Finance, Mathematical Finance, Financial Engineering, or a closely related field.
• Research experience or coursework in areas such as computational finance, mathematical finance, portfolio management, risk management, statistical finance, or trading and market microstructure.
• Familiarity with arxiv.org, especially the Quantitative Finance repository (q-fin).
• Strong written communication skills, attention to detail, and ability to work independently and asynchronously with research teams.
• No prior AI experience required, but the ability to evaluate technical content carefully is essential.

• Employment type: Part time, hourly contract work.
• Location: Remote, fully asynchronous.
• Flexible schedule with no minimum hour requirement; contributors typically work approximately 5 to 20 hours per week when participating in an active project.
• Ongoing, project-based engagement that can be taken alongside other professional or academic commitments.
• Placement on projects depends on current project needs, with the possibility to be considered for future projects as they become available.

Up to $150/hr (depending on the project)

• F-1 students who are eligible for CPT or OPT may be eligible to participate. Work with your Designated School Official to confirm eligibility.
• If your school requires enrollment in a CPT course, this project-based contract work may not satisfy your school’s CPT requirements.
• STEM OPT is not supported for participation in these projects.
• Refer to the program help center article for additional details on supported work authorizations and documentation requirements.

• Create an account on the program portal.
• Complete identity verification as requested.
• Join and onboard into relevant projects that match your expertise.
• Begin reviewing tasks, submit evaluations and annotations, and receive payment for completed work.