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Alignerr

Finance & Python Expert — AI Financial Modeling Reviewer

Alignerr · United States

  • Hybrid
  • Contract
  • $60,000 / year
  • United States
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Job highlights

  • Audit AI financial models using Python and GitHub.
  • Refine AI instructions and scoring rubrics.
  • Edit Markdown and Python scripts via Pull Requests.
  • Ensure AI outputs match analyst standards.
  • Fully remote contract role with flexible hours.

About the role

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 Details

  • 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

Key skills/competency

  • Financial Modeling
  • Python
  • GitHub
  • Markdown
  • AI Auditing
  • Financial Analysis
  • Valuation Techniques
  • US Financial Terminology
  • Pull Requests
  • Data Annotation

Skills & topics

  • Finance
  • Python
  • AI
  • Financial Modeling
  • GitHub
  • Remote
  • Contract
  • Analyst
  • Auditing
  • Markdown

How to get hired

  • Tailor your resume: Highlight finance expertise, Python proficiency, and GitHub experience, using keywords from the job description.
  • Showcase your portfolio: If possible, share examples of Python scripts for financial modeling or contributions to GitHub projects.
  • Emphasize US finance knowledge: Clearly state your familiarity with US financial terminology and conventions (DCF, P&L, etc.).
  • Demonstrate remote work skills: Mention your ability to work independently, communicate clearly, and collaborate asynchronously.
  • Prepare for technical questions: Be ready to discuss your experience with financial modeling, Python debugging, and Git workflows.

Technical preparation

Review Python for financial libraries.,Practice GitHub pull request workflows.,Study US financial modeling conventions.,Familiarize with Markdown editing.

Behavioral questions

Describe a complex financial problem you solved.,How do you ensure accuracy in your work?,Explain your process for reviewing technical documentation.,How do you manage independent, task-based assignments?

Frequently asked questions

What specific financial expertise is Alignerr looking for in a Finance & Python Expert?
Alignerr is seeking deep subject matter expertise in finance, ideally from roles like financial analyst, investment banking, corporate finance, equity research, or FP&A. Strong command of US-based financial terminology and frameworks such as DCF, P&L, balance sheet analysis, WACC, and comparable company analysis is crucial for this Finance & Python Expert role.
What Python and GitHub skills are essential for the AI Financial Modeling Reviewer position?
For the AI Financial Modeling Reviewer role, proficiency in Python is required, including the ability to read, write, and debug financial calculation scripts. Experience with GitHub is also essential, specifically with cloning repositories, creating branches, and submitting Pull Requests without needing detailed guidance.
Is this a remote position, and what are the work hours for the Finance & Python Expert?
Yes, this Finance & Python Expert position at Alignerr is fully remote. The commitment is flexible, ranging from 10 to 40 hours per week, allowing you to work at your own pace and schedule.
How will my financial modeling expertise be used in this AI role?
Your financial modeling expertise will be used to audit and refine AI-generated financial modeling tasks. You will ensure these AI models accurately replicate professional analyst workflows, edit Python scripts and Markdown files to improve logic and clarity, and evaluate AI outputs against concepts like DCF analysis and valuation techniques.
What kind of feedback will I provide as an AI Financial Modeling Reviewer for Alignerr?
As an AI Financial Modeling Reviewer, you will provide clear, structured feedback grounded in your professional financial expertise. This feedback will address logic errors, clarity gaps in task instructions and scoring rubrics, and ensure AI outputs correctly apply financial concepts.
Does Alignerr offer ongoing work for freelance Finance & Python Experts?
Alignerr mentions the potential for ongoing work and contract extensions as new projects launch, suggesting that successful Finance & Python Experts may find continuous opportunities. This depends on project needs and your performance.