Financial Modeling Expert — Teach AI to Think Like an Analyst
Alignerr · United States
- Hybrid
- Contract
- $110,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Refine AI financial modeling tasks using Python and GitHub.
- Audit and improve AI instructions and scoring rubrics.
- Edit code and documentation for logic and clarity.
- Ensure AI outputs match professional analyst standards.
- Fully remote, flexible contract with competitive hourly pay.
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.
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 professional standards. 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
Compensation
$80–$110/hour
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
Key skills/competency
- Financial Modeling
- Python
- GitHub
- AI Auditing
- Financial Analysis
- Valuation Techniques
- DCF Analysis
- P&L Interpretation
- Financial Statements
- US Financial Conventions
Skills & topics
- Financial Modeling
- Python
- GitHub
- AI Trainer
- Financial Analyst
- Valuation
- DCF
- P&L
- Remote
- Contract
How to get hired
- Tailor your resume: Highlight financial modeling, Python, GitHub, and US financial expertise.
- Showcase your skills: Emphasize experience with DCF, P&L, and valuation techniques.
- Demonstrate remote readiness: Detail your ability to work independently and communicate effectively.
- Prepare for technical questions: Be ready to discuss your Python and GitHub workflow.
Technical preparation
Practice Python for financial calculations.,Review GitHub workflows and Pull Requests.,Refresh DCF, P&L, and valuation concepts.,Study US financial terminology and conventions.
Behavioral questions
Describe a complex financial model you built.,How do you ensure accuracy in your work?,Explain your process for debugging code.,How do you provide constructive feedback?
Frequently asked questions
- What specific financial skills are most important for the Financial Modeling Expert AI Trainer role at Alignerr?
- For the Financial Modeling Expert AI Trainer position at Alignerr, deep expertise in financial modeling is paramount. This includes proficiency with Discounted Cash Flow (DCF) analysis, Profit and Loss (P&L) interpretation, financial statement modeling, and valuation techniques. Strong knowledge of US-based financial terminology and conventions is also critical.
- How proficient do I need to be with Python and GitHub for the Alignerr job?
- Alignerr requires proficiency in Python, meaning you should be comfortable reading, writing, and debugging scripts used for financial calculations. For GitHub, you need to be experienced enough to clone repositories, create branches, and submit Pull Requests independently. Familiarity with editing Markdown for technical documentation is also necessary.
- Is the Financial Modeling Expert AI Trainer role at Alignerr a full-time position?
- No, the Financial Modeling Expert AI Trainer role at Alignerr is a fully remote, flexible hourly contract position. The commitment can range from 10 to 40 hours per week, offering significant flexibility for independent work.
- What is the compensation for the Financial Modeling Expert AI Trainer at Alignerr?
- The compensation for the Financial Modeling Expert AI Trainer at Alignerr is between $80 and $110 per hour, depending on your experience and qualifications. This is a freelance, task-based contract role.
- How does Alignerr ensure the AI models accurately reflect professional analyst workflows?
- Alignerr relies on Finance Subject Matter Experts like you to audit and refine AI-generated financial modeling tasks. You will directly edit Markdown files and Python scripts, review task instructions and scoring rubrics, and provide feedback to ensure AI outputs meet professional standards and accurately replicate real-world analyst workflows.