Quantitative Finance Researcher for AI Evaluation

Role Overview

Quantitative Finance researchers apply mathematical and computational finance expertise to create expert-level training data and to evaluate AI-generated responses for accuracy, relevance, and methodological soundness.

Key Responsibilities

• Use deep knowledge of mathematical finance, risk modeling, and quantitative methods to assess AI-generated content.
• Create and annotate expert training data derived from academic research and rigorous quantitative methods.
• Provide clear, detailed feedback to improve AI understanding of quantitative finance research and methodology.
• Work independently and asynchronously with research teams to review, score, and comment on model outputs.

Qualifications

• PhD or Master degree 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 or mathematical finance, portfolio management, risk management, statistical finance, trading, or market microstructure.
• Strong written communication skills, high attention to detail, and ability to work independently in an asynchronous environment.
• No prior AI experience required.

Work Terms

• Engagement is part-time, hourly contract work, structured as independent-contractor contributions rather than a traditional full-time position.
• Fully remote, with a flexible, asynchronous schedule and no minimum hour requirement.
• Typical active participation ranges from approximately 5 to 20 hours per week, depending on project involvement.
• Ongoing, project-based participation that can be taken alongside other commitments.
• Placement on specific projects depends on current needs; contributors may be considered for future projects as they become available.

Compensation

Up to $50/hr (depending on the project)

Eligibility

• F-1 students with eligible CPT or OPT authorization may qualify to participate, subject to your school policies.
• Confirm eligibility with your Designated School Official, because if your school requires enrollment in a CPT course, this program may not satisfy that requirement.
• STEM OPT is not supported for this opportunity.

Application Process

• Create an account with the program and complete your profile.
• Complete identity verification as required for participation.
• Enroll in and onboard to relevant projects, completing any project-specific orientation or instructions.
• Begin reviewing tasks and earning hourly compensation once onboarded.