Quantitative Finance Expert (AI Training & Evaluation)
You will apply your professional quantitative finance expertise to help make AI systems more accurate and reliable on complex quantitative topics. You will create technical, domain-specific prompts and review AI-generated responses end to end — the final output, the underlying reasoning, and the steps taken to get there — researching and verifying their accuracy against reliable sources and providing clear, expert-level feedback. Your judgment will help define what a correct, complete, and well-reasoned answer looks like in quantitative finance. This is a remote, flexible, freelance engagement that lets you leverage your deep domain experience on a schedule that fits alongside your existing commitments.
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 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 India
- 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 (preferred)
- Familiarity with AI or machine learning projects (preferred)