Quantitative Finance Expert (AI Training & Evaluation)
Braintrust is a decentralized talent network that connects skilled professionals and freelancers with leading companies. The platform is user-owned and controlled, utilizing the BTRST token on the Ethereum blockchain for governance, payments, and other network activities. Braintrust also offers an AI-powered recruiting platform, Braintrust AIR, to help businesses streamline their hiring process by reducing costs, eliminating bias, and identifying top talent more efficiently.
Projects
About Braintrust
Braintrust operates as a decentralized, user-owned talent network connecting skilled knowledge workers with top companies globally. The platform is built on the Ethereum blockchain and uses its native BTRST token for governance, staking, and payments, allowing talent to retain 100% of their earnings. Braintrust offers several products and services, including a Talent Marketplace and an AI-powered recruiting platform called Braintrust AIR. Braintrust AIR uses conversational AI video interviews to screen candidates, providing detailed scorecards to help companies save time, reduce costs, and eliminate bias in hiring. The platform caters to various industries, including healthcare, technology, and financial services. Braintrust fosters a strong community through its Braintrust Academy, which offers free courses, and various community programs and events. The network is governed by its community, ensuring it serves the needs of its users rather than a centralized corporation.
Skills
About the Role
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.
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)
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