Quantitative Finance Researcher for AI Evaluation

Quantitative Finance Researchers apply advanced mathematical finance, risk modeling, and quantitative methods to evaluate AI-generated outputs and create expert-level training data that improves AI understanding of quantitative finance research and methodology. This is a remote, part-time, project-based engagement you can take on alongside other commitments. No prior AI experience is required.

• Review and evaluate AI-generated responses for technical accuracy, relevance, and adherence to quantitative finance standards.
• Produce expert-level training examples, annotations, and corrections based on current academic and research practices.
• Apply domain knowledge in mathematical finance, risk modeling, computational methods, and market microstructure to assess model outputs.
• Provide clear, well-documented feedback to AI research teams in an asynchronous, independent working style.

• PhD or Master in Quantitative Finance, Mathematical Finance, Financial Engineering, or a closely related field.
• Research background or coursework in areas such as computational finance, mathematical finance, portfolio management, risk management, statistical finance, trading, or market microstructure.
• Familiarity with arXiv, especially the Quantitative Finance (q-fin) repository.
• Strong written communication skills, attention to detail, and ability to work independently and asynchronously with research teams.

• Employment type: Part-time, contract, project-based.
• Location: Fully remote, with a flexible, asynchronous schedule and no minimum hour requirement.
• Typical active participation: Most contributors work approximately 5 to 20 hours per week when engaged on an active project.
• Placement depends on current project needs; contributors may be considered for future projects as new needs arise.
• This engagement is ongoing and project-based, allowing you to participate alongside other professional or academic commitments.

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

• F-1 students who are eligible for CPT or OPT may qualify for projects under this program. Consult your Designated School Official to confirm eligibility for paid work. If your school requires enrollment in a CPT course, this program may not satisfy that requirement.
• STEM OPT is not supported for this program.

• Create a candidate profile on the program platform.
• Complete identity verification as requested.
• Join and complete onboarding for projects that match your expertise.
• Begin contributing to assigned tasks and receive compensation according to the project terms.