Financial Analyst — AI Model Reviewer (Python & GitHub)

Alignerr Corp.; United States; Remote; USD 110,000 - 152,000; Part time

Job summary

Alignerr Corp. is seeking a Financial Analyst — AI Model Reviewer to audit, refine, and improve AI-generated financial tasks. You will review instructions, fix logic in Markdown and Python, and ensure analyses mirror real analyst workflows in US financial practice.

The role emphasizes DCF, P&L interpretation, and valuation concepts, with remote, hourly contract flexibility for US-based experts. Remote collaboration and independent work are expected.

Qualifications

• Finance expertise in US markets and terminology
• Fluent in Python for finance scripts
• Proficient with GitHub workflows and markdown docs
• Experience reviewing AI/ML financial tasks and rubrics

Responsibilities

• Audit AI-generated financial modeling tasks to ensure accurate replication of analyst workflows
• Validate task instructions and rubrics for logical soundness and real-world relevance
• Edit Markdown files and Python scripts via PRs to fix logic and clarity gaps
• Evaluate AI outputs for correct application of DCF, P&L, and financial modeling concepts
• Provide structured feedback grounded in professional finance expertise
• Collaborate asynchronously with distributed team via GitHub workflows
• Work independently on task-based assignments at your pace

Skills

Finance knowledge

Python

GitHub

Markdown

Education

CFA/MBA with finance focus

Tools

Python

GitHub

Markdown

Job description

Financial Analyst — AI Model Reviewer

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