Finance & Python Expert — AI Financial Modeling Reviewer
Alignerr · Remote · Coding / software engineering
Finance & Python Expert — AI Financial Modeling Reviewer is an open role at Alignerr, available remotely, with pay listed as $60–$100/hr.
Applications open on Alignerr’s own site. How we make money.
At a glance
- Pay
- $60–$100/hrStated by Alignerr
- Location
- Remote
- Work type
- Coding / software engineering
- Listed
- Since Oct 4, last confirmed Oct 22
How the pay compares
Higher than 38% of the 72 distinct hourly rates advertised for Finance roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.
From Alignerr’s listing
“Finance & Python Expert — AI Financial Modeling Reviewer About the Role What if your deep knowledge of financial modeling could directly shape how AI performs the work of a professional analyst?”
Show the full listing
Finance & Python Expert — AI Financial Modeling 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. 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 : 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 Str
About Alignerr: part of Labelbox. See the full profile →
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Frequently asked questions
How do I apply for the Finance & Python Expert — AI Financial Modeling Reviewer role at Alignerr?
Applications go through Alignerr's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Alignerr's access model is "Open / self-serve" (Open roles / applications). This listing was first seen here on October 4, 2026 and was still live at the last check.
Is the Finance & Python Expert — AI Financial Modeling Reviewer role at Alignerr remote?
Yes - Alignerr lists this role as remote.
What does the Finance & Python Expert — AI Financial Modeling Reviewer role at Alignerr pay?
Alignerr lists this role's pay as $60–$100/hr, quoted from the listing rather than estimated.
What kind of work is Finance & Python Expert — AI Financial Modeling Reviewer?
Coding / software engineering. AI training, evaluation, coding, writing and specialist review
Is Alignerr a legitimate AI-training platform?
Labelbox expert network - and that relationship is rated "Confirmed" here because it can be checked against labelbox.com rather than taken on Alignerr's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.
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