Note: The job is a remote job and is open to candidates in USA. Outlier is hiring PhD-level quantitative finance experts to train and evaluate advanced AI models on financial and quantitative reasoning. The role involves assessing model-generated content, creating and answering domain-specific questions, and evaluating AI responses.

Responsibilities

• 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

Skills

• 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

Benefits

• Remote, flexible contract work
• Fully remote

Company Overview