About this role
Role Overview
Work directly with AI researchers to improve large language model performance on real-world finance tasks. You''ll evaluate models, design assessment rubrics for finance-specific capabilities, and advise on training and evaluation approaches. This is a remote, contract engagement supporting a San Francisco based research accelerator focused on frontier AI. No prior AI experience is required.
Key Responsibilities- Evaluate LLMs in finance domains where they underperform, identifying failure modes and gaps.
- Create detailed rubrics and benchmarks to assess model capabilities in areas such as deal analysis, M&A assessment, forecasting, revenue builds, and other domain tasks.
- Collaborate with AI researchers and other finance experts to shape training methods, evaluation strategies, and benchmarks.
- At least 2 years of professional experience in one or more of these areas: Capital Markets, Portfolio Management, Research, Trading, Quant, Investment Banking, Private Equity, Venture Capital, Growth Equity, FP&A, Accounting, or Financial Consulting.
- Strong understanding of relevant financial concepts, for example investment analysis, research, forecasting, revenue builds, corporate finance, asset management, and risk management, as they apply to your domain.
- Excellent written English communication skills.
- Preferred but not required: CFA (any level), CA, CPA, or an MBA in Finance.
- Engagement type: Contract, independent contractor relationship.
- Location: Remote, US based candidates only.
- Time commitment: Flexible, typically 10 to 30 hours per week.
- Duration: Approximately 1 month, with possible extension based on performance and project needs.
- Flexible scheduling within the weekly hours range.
Competitive hourly rate, approximately $100 or more per hour depending on experience.
Eligibility- Must be based in the United States and able to work as an independent contractor with a US remote arrangement.