Quantitative Finance Expert (AI Training & Evaluation)

Responsibilities

• Create and refine technical, domain-specific prompts that probe and stress-test the AI's capabilities in quantitative finance.
• Evaluate AI-generated responses end to end — the final output, the underlying reasoning, and the intermediate steps — for accuracy, completeness, and quality.
• Research and verify models, methods, figures, and claims against authoritative sources.
• Identify errors, gaps, edge cases, and inconsistencies in AI outputs, and clearly explain what is wrong and why.
• Apply detailed project guidelines consistently, and flag ambiguity or areas where guidance could improve.
• Provide expert written feedback that improves how AI systems reason about quantitative finance.
• Maintain a high standard of accuracy and consistency across all assigned work.

Requirements

• 8+ years of professional experience in quantitative finance (quant research/analysis, derivatives pricing, algorithmic/systematic trading, or advanced financial modeling).
• Deep, demonstrable specialization in the above.
• Strong written English and the ability to explain complex reasoning clearly.
• Excellent attention to detail and sound analytical judgment.
• Comfortable working independently in a remote environment.
• Based in the United States.
• Availability for approximately 4 hours per day, ~5 days per week including weekends, for a short-term engagement.
• Prior experience reviewing, evaluating, or quality-checking content, data, or AI/model outputs.
• Familiarity with AI or machine learning projects.