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Financial Analyst — AI Reviewer (Python & US Modeling)
Alignerr • USA
Education
Bachelor's
Type
Hourly
Pay Rate
$60–$100/hr
Listed
138d ago
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Check Listing → ⚡ Boost your chances - Optimize your resume with Rezi.aiAbout this role
From the Alignerr listing
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
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: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
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
Why this 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. Fi
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Common questions
How hard is the Alignerr assessment?
Hard, and unforgiving. Alignerr uses TestGorilla for timed, role-specific tests: a blank coding environment for engineers, strict grammar and fact-checking for writers. Treat it as one shot. Failing or abandoning it typically locks you out of that role permanently, with no retake.
How soon can I start earning on Alignerr after passing the assessment?
Not right away. After passing, you still complete identity verification through Persona and billing setup through Deel, then wait in a pool for weeks or months. You only start earning once a project matching your specific skills launches and assigns you. Don't count on Alignerr income until you're actively placed on a project.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does the day-to-day workload look like for elite-expert AI training roles?
Slow and deep, not fast and repetitive. A single task can take 45-60 minutes of researching citations or verifying complex calculations. Quality is what's being measured here, not throughput.
What does Finance work look like for a Financial Analyst — AI Reviewer (Python & US Modeling)?
Tasks here are scoped to Finance, not generic labeling. As a Financial Analyst — AI Reviewer (Python & US Modeling), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Finance) rather than following a one-size-fits-all rubric. If you don't have hands-on Finance background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Expert is named directly in the listing. If you don't have hands-on experience with this, expect the screening process to test for it directly rather than accepting adjacent experience as a substitute.
How many hours per week does this role require?
Based on the listing, this role is scoped at 10–40 hours per week. Treat this as a real commitment expectation, not a loose estimate.
How much does this specific role pay?
This listing is posted at $60–$100/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Alignerr's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Can I apply from outside the United States?
This specific role is open only to people based in the United States. If you are somewhere else, applying is unlikely to lead to an offer even if you pass the assessment, because the restriction is usually about where the work can legally be contracted rather than your skills. Read the full description for any tax-residency or right-to-work caveats before you apply.
What is the barrier to entry for Alignerr?
A difficult, timed technical assessment in your specific domain, like Python, physics, or language. Passing it is required before you're eligible for any paid projects.