Finance & Python Expert — AI Training Analyst

About the Role

What if your deep knowledge of financial modeling could directly shape how AI performs the work of a professional analyst? We're looking for Finance Subject Matter Experts who also know their way around Python and GitHub to audit, refine, and improve AI-generated financial modeling tasks — making sure they mirror how real analysts actually work.

What You'll Do

• 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

Who You Are

• 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
• Comfortable editing Markdown for technical documentation
• 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

Nice to Have

• 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

Organization

Alignerr

Type

Hourly Contract

Location

Remote

Compensation

$80–$110/hour

Commitment

10–40 hours/week