Overview
This role involves leveraging deep financial modeling expertise to review and improve AI-generated financial analysis tasks. The position requires auditing task instructions and scoring rubrics, editing Markdown documentation and Python scripts, and ensuring AI outputs accurately reflect professional analyst workflows.
This is a fully remote, flexible contract opportunity with hourly compensation ranging from $80 to $110. Candidates should have strong US-based financial knowledge and fluency with American financial terminology.
Responsibilities
- Audit AI-generated financial modeling tasks to verify alignment with professional analyst practices
- Validate task instructions and scoring rubrics for logical consistency, completeness, and real-world applicability
- Edit Markdown files and Python scripts via Pull Requests to correct logic errors and improve clarity
- Assess AI outputs for correct application of concepts such as discounted cash flow (DCF) analysis, profit and loss (P&L) interpretation, financial statement modeling, and valuation techniques
- Provide clear, structured feedback based on professional financial expertise
- Collaborate asynchronously with a distributed team using GitHub workflows
- Manage task-based assignments independently with flexible scheduling
Requirements
- Extensive subject matter expertise in finance, with experience as an analyst, investment banker, corporate finance professional, equity researcher, FP&A specialist, or related role
- Strong command of US financial terminology and frameworks including DCF, P&L, balance sheet analysis, weighted average cost of capital (WACC), and comparable company analysis
- Proficiency in Python, including reading, writing, and debugging scripts for financial calculations
- Experience using GitHub for cloning repositories, branching, and submitting Pull Requests independently
- Comfortable editing Markdown for technical documentation
- Detail-oriented with a systematic and quality-driven approach to reviewing work
- Clear and precise written communication skills to articulate issues and solutions
- Self-motivated and reliable when working independently
Preferred Qualifications
- CFA, CPA, or MBA with a finance concentration
- Professional experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation
- Background in teaching, mentoring, or developing training materials for financial concepts
- Familiarity with AI or machine learning evaluation workflows or data annotation projects
- Experience writing or reviewing technical rubrics or assessment criteria
Compensation & Benefits
- Hourly contract position
- Pay range: $80–$110 per hour
- Flexible hours, 10–40 hours per week
- Fully remote work
Location
- Remote (work from any location)