Overview
This role supports AI research through flexible, part-time contract work. It is an ongoing, project-based opportunity that can be completed alongside your current role.
You’ll draw on hands-on experience in investing, capital markets, or deal execution to evaluate AI-generated content and provide feedback that helps improve how the system reasons about finance in real-world practice.
Responsibilities
- Use domain expertise to create expert-level finance problems and scenarios grounded in real deal analysis, valuation, and investment decision-making
- Review and evaluate AI-generated responses for technical accuracy, practical feasibility, and alignment with how the work is actually done
- Provide structured written feedback to help improve AI model performance
- Complete tasks at your own pace with no set schedule or minimum hour requirement
Qualifications
Ideal candidates meet all three of the following:
- Industry/research experience: minimum 1 year of professional experience at a well-known firm or legitimate startup, with direct exposure to real financial analysis, deal execution, or investment decision-making
- Degree: Bachelor’s degree in Finance, Economics, Accounting, Business, or a related quantitative field
- Sub-domain depth (demonstrated expertise in at least one of the following):
- Investing (venture capital, private equity, or growth equity)
- Hedge fund experience (public markets, equity research, macro, or credit)
- Investment banking (M&A, capital markets, or corporate finance)
Preferred Qualifications
- Strong financial modeling and valuation skills (Excel, DCF, comps, LBO, or similar)
- Experience at a recognized, brand-name firm in your sub-domain, or progress toward a credential such as the CFA
Required Qualifications
- Based in the United States
- Strong written communication and attention to detail
- Ability to explain complex finance concepts clearly
- Ability to work independently in a remote, asynchronous environment
Location
United States (remote/asynchronous)