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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.
Operating at the highest professional standards, you can now apply that rigor to a genuinely novel challenge: teaching AI to think like a top-tier financial analyst. You’ll review AI task instructions and scoring rubrics, then edit Markdown files and Python scripts directly via Pull Requests to fix logic errors, close clarity gaps, and ensure every task meets professional standards.
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, ACCA, or MBA with a finance concentration
Professional experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation
Experience with US-listed equities, US GAAP, or cross-border financial analysis
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
Work arrangement
Yes
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