PhD in Quantitative Finance, Remote AI Research Evaluator

• Rate: $50 – $150/hr
• Hours: 35 hours / week
• Experience: 3 - 5 years
• Location: United States | Canada + 6 more

We're hiring PhD-level quantitative finance experts to help train and evaluate advanced AI models on financial and quantitative reasoning. This is remote, flexible contract work where your specialized expertise directly shapes how cutting-edge models handle complex quantitative problems, financial modeling, and domain-specific reasoning.

This is a short-term engagement running through the end of June, with potential to extend.

Key Responsibilities

You may contribute your expertise by:

• Assessing the factuality and relevance of quantitative and finance-related text produced by AI models
• Crafting and answering questions related to quantitative finance, financial modeling, and applied mathematics
• Evaluating and ranking domain-specific responses generated by AI models

What We're Looking For

• A PhD (completed or in final stages) in Quantitative Finance, Financial Engineering, Financial Mathematics, or a closely related quantitative field with a strong finance focus
• Deep familiarity with quantitative methods such as stochastic modeling, derivatives pricing, econometrics, risk modeling, or computational finance
• Strong analytical and critical-thinking skills, with the ability to spot subtle errors in quantitative reasoning
• Fluent written English and the ability to communicate complex ideas clearly

Nice to Have

• Research experience (academic or industry, including buy-side or sell-side quant roles)
• Prior experience with data annotation or AI model evaluation
• Experience reviewing or publishing research papers

Compensation

Up to $150/hr , depending on your area of expertise, depth of experience, and assessment performance. Quantitative finance specialists are among our most sought-after experts.

Location

This role is fully remote. We are currently accepting applicants based in:

United States, Canada, Puerto Rico, Mexico, United Kingdom, Australia, New Zealand, and Argentina.

Company: Outlier