Financial Modeling Expert — AI Training (Python & GitHub)

About the role

This is a fully remote, flexible contract role.

Responsibilities

• Audit AI-generated financial modeling tasks to ensure they accurately replicate professional analyst workflows.
• Validate task instructions and scoring rubrics for logical soundness, completeness, and real-world relevance.
• Directly edit Markdown files and Python scripts via Pull Requests to resolve logic errors, ambiguity, or clarity gaps.
• Evaluate whether AI outputs reflect correct application of concepts like 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

• Strong US-based financial knowledge and fluency with American financial terminology and conventions.
• Deep subject matter expertise in finance — you've worked as an analyst, in investment banking, corporate finance, equity research, FP&A, or a closely related field.
• Strong command of US-based financial terminology and frameworks (DCF, P&L, balance sheet analysis, WACC, comparable company analysis, etc.).
• Proficient in Python — comfortable reading, writing, and debugging scripts used for financial calculations.
• Experienced with GitHub — you can clone repos, create branches, and submit Pull Requests without hand-holding.
• Detail-oriented with a systematic, quality-driven approach to review work.
• Clear, precise written communicator who can articulate what's wrong and why.
• Self-motivated and reliable when working independently.

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.