Financial Analyst — AI Reviewer (Python & US Modeling)
Alignerr · United States
- Hybrid
- Contract
- $40,000 / 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
- Review and refine AI financial modeling tasks.
- Edit Python scripts and Markdown files.
- Ensure AI outputs match analyst standards.
- Work remotely on flexible contract basis.
- Apply finance expertise to AI projects.
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.
Finance professionals are uniquely positioned for this role, bringing deep familiarity with financial conventions and a strong tradition of rigorous analytical training. 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 the standards of a top-tier analyst.
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: AlignerrType: 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
- Cross-border finance experience involving US and Canadian markets
- 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 Review
- Markdown Editing
- US Financial Conventions
- Valuation Techniques
- DCF Analysis
- P&L Interpretation
- Financial Statement Analysis
Skills & topics
- Financial Analyst
- AI Reviewer
- Python
- GitHub
- Financial Modeling
- Remote
- Contract
- Finance
- US Financial Conventions
- Valuation
How to get hired
- Tailor your resume: Highlight Python, GitHub, and US financial modeling expertise relevant to AI review.
- Showcase financial acumen: Emphasize your experience in equity research, FP&A, or investment banking.
- Demonstrate technical skills: Detail your proficiency with Python scripting and GitHub workflows.
- Prepare for remote work: Highlight your self-motivation, reliability, and communication skills.
Technical preparation
Practice Python for financial data analysis.,Familiarize yourself with GitHub pull requests.,Review US financial modeling best practices.,Understand DCF, P&L, and valuation concepts.
Behavioral questions
Describe a complex financial model you built.,How do you ensure accuracy in your work?,Explain a time you improved a process.,How do you handle ambiguous instructions?
Frequently asked questions
- What is the primary focus of the Financial Analyst AI Reviewer role at Alignerr?
- The primary focus of the Financial Analyst AI Reviewer role at Alignerr is to leverage your deep financial modeling expertise, combined with Python and GitHub skills, to audit, refine, and improve AI-generated financial modeling tasks, ensuring they accurately reflect professional analyst workflows and standards.
- Is this a remote position with Alignerr, and what are the typical working hours?
- Yes, this is a fully remote, flexible contract role. You can work between 10-40 hours per week, allowing you to set your own schedule and work from anywhere.
- What specific US financial knowledge is required for this Alignerr role?
- You need strong US-based financial knowledge, including fluency with American financial terminology and frameworks such as DCF analysis, P&L interpretation, balance sheet analysis, WACC, and comparable company analysis.
- What technical skills are essential for an applicant to the Financial Analyst AI Reviewer position?
- Essential technical skills include proficiency in Python for reading, writing, and debugging financial calculation scripts, and experience with GitHub for managing code via Pull Requests and collaborating with a distributed team.
- How does Alignerr use financial expertise to train its AI models?
- Alignerr utilizes financial Subject Matter Experts to review and edit AI-generated financial modeling tasks. By directly correcting logic errors and improving clarity in scripts and instructions, the AI learns to perform financial analysis tasks more accurately, mirroring professional analyst workflows.
- What kind of feedback is expected from a Financial Analyst AI Reviewer at Alignerr?
- You are expected to provide clear, structured feedback grounded in professional financial expertise. This includes articulating what is wrong with AI-generated tasks or instructions and explaining why, specifically focusing on logic errors, clarity gaps, and adherence to financial conventions.
- Can I work on this Alignerr role if I have a CFA or CPA certification?
- Yes, having a CFA, CPA, or an MBA with a finance concentration is considered a 'Nice to Have' for the Financial Analyst AI Reviewer role, indicating a strong foundational knowledge in finance.