Finance Expert — AI Model Reviewer (Python & Financial Modeling)
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 with strong financial market experience — who also know their way around Python and GitHub to audit, refine, and improve AI-generated financial modeling tasks.
You'll review AI task instructions and scoring rubrics, then roll up your sleeves and edit Markdown files and Python scripts directly via Pull Requests to fix logic errors, close clarity gaps, and ensure every task meets the standards of a top-tier analyst. If you can build a DCF in your sleep and know your way around a P&L, this role was made for you.
This is a fully remote, flexible contract role. Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
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
Why Join Us
• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact task-based work
• Apply your hard-earned financial expertise to a genuinely novel problem — teaching AI to think like a real analyst
• Potential for ongoing work and contract extension as new projects launch
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 with strong financial market experience — who also know their way around Python and GitHub to audit, refine, and improve AI-generated financial modeling tasks.
You'll review AI task instructions and scoring rubrics, then roll up your sleeves and edit Markdown files and Python scripts directly via Pull Requests to fix logic errors, close clarity gaps, and ensure every task meets the standards of a top-tier analyst. If you can build a DCF in your sleep and know your way around a P&L, this role was made for you.
This is a fully remote, flexible contract role. Candidates must have strong US-based financial knowledge and fluency with American financial terminology and conventions.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week
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
Why Join Us
• Work on cutting-edge AI projects alongside leading research labs
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact task-based work
• Apply your hard-earned financial expertise to a genuinely novel problem — teaching AI to think like a real analyst
• Potential for ongoing work and contract extension as new projects launch