PhD in Quantitative Finance, Remote AI Research Evaluator
Indexed description
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
- 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
- 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
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.
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