Quantitative Finance Researcher for AI Evaluation

Quantitative Finance Researchers apply advanced mathematical finance, risk modeling, and quantitative methods to evaluate AI-generated content and produce expert-level training data that improves AI understanding of quantitative finance research and methodology.

• Review and evaluate AI-generated responses for accuracy, relevance, and adherence to quantitative finance standards.
• Create expert-level training examples and annotations grounded in current research and best practices.
• Apply domain knowledge from mathematical finance, risk modeling, and quantitative methods to critique and guide model outputs.
• Document feedback clearly in writing so research teams can incorporate corrections and refinements.
• Work independently and asynchronously with remote AI research teams while meeting project-specific guidelines and deadlines.

• Master''s or PhD in Quantitative Finance, Mathematical Finance, Financial Engineering, or a closely related field.
• Familiarity with arxiv.org, especially the Quantitative Finance repository (q-fin).
• Research experience or coursework in one or more of: Computational Finance, Mathematical Finance, Portfolio Management, Risk Management, Statistical Finance, Trading and Market Microstructure.
• Strong written communication, attention to detail, and the ability to work independently and asynchronously with research teams.
• No prior AI experience required; domain expertise and research judgment are the primary requirements.

• Remote, part-time, hourly contract engagement that can be done alongside other commitments.
• Flexible, asynchronous schedule with no minimum hour requirement; most contributors work approximately 5 to 20 hours per week when participating in an active project.
• Placement on specific projects depends on current project needs. Contributors may be considered for future projects as they become available.

• Up to $50/hr (depending on the project), paid on an hourly contract basis.

• F-1 students who are eligible for CPT or OPT may be eligible for projects. Work with your Designated School Official to determine your eligibility.
• If your school requires enrollment in a CPT course, this contract work may not meet that requirement.
• STEM OPT is not supported for this engagement.

• Create an account on the engagement portal and complete the required identity verification.
• Express interest in relevant projects and complete any short, project-specific onboarding steps required for participation.
• Begin assigned tasks and submit work according to project instructions to receive hourly pay.