Overview
This role involves leveraging deep financial modeling expertise to audit, refine, and improve AI-generated financial modeling tasks. The position requires strong experience in financial markets combined with proficiency in Python and GitHub to directly edit and enhance task instructions, scoring rubrics, and scripts.
This is a fully remote, flexible contract opportunity with an expected commitment of 10–40 hours per week. Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions.
Responsibilities
- Audit AI-generated financial modeling tasks to ensure accurate replication of professional analyst workflows
- Validate task instructions and scoring rubrics for logical soundness, completeness, and real-world relevance
- Edit Markdown files and Python scripts via Pull Requests to fix logic errors, clarify ambiguities, and improve task quality
- Evaluate AI outputs for correct application of concepts such as DCF analysis, P&L interpretation, financial statement modeling, and valuation techniques
- Provide clear, structured feedback grounded in professional financial expertise
- Collaborate asynchronously with a distributed team using GitHub-based workflows
- Work independently on task-based assignments at your own pace and schedule
Requirements
- Deep subject matter expertise in finance, with experience as an analyst, in investment banking, corporate finance, equity research, FP&A, or a related field
- Strong command of US-based financial terminology and frameworks (e.g., DCF, P&L, balance sheet analysis, WACC, comparable company analysis)
- Proficient in Python, comfortable reading, writing, and debugging scripts for financial calculations
- Experienced with GitHub workflows, including cloning repositories, creating branches, and submitting Pull Requests independently
- Comfortable editing Markdown for technical documentation
- Detail-oriented with a systematic, 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 creating training materials for financial concepts
- Familiarity with AI/ML evaluation workflows or data annotation projects
- Experience writing or reviewing technical rubrics or assessment criteria
Compensation & Benefits
- Hourly contract position
- Fully remote and flexible schedule
- Opportunity to work on cutting-edge AI projects
- Freelance autonomy with meaningful, high-impact task-based work
- Potential for ongoing work and contract extension as new projects launch
Location
- Remote (US-based financial knowledge required)