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Finance alignerr

Finance & Python Expert — AI Model Reviewer

Alignerr Remote Posted 4 days ago

Education

Any

Type

Pay Rate

$95/task

Posted

4d ago

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About this Role

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. 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, understand GAAP-based financial statements, 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
  • 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, CA, CPA, or MBA with a finance concentration
  • Professional experience building financial models in Excel or Python for deal evaluation, forecasting, or valuation
  • Experience with US-listed companies, SEC filings, or US GAAP reporting
  • 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

Requirements

  • Fluent proficiency in English (Written & Verbal)
  • Reliable high-speed internet connection
  • Bachelor's degree or equivalent professional experience
  • Demonstrated expertise in Finance

Compensation Analysis

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. Yo

Skills & Categories

Explore other opportunities in related specializations:

Finance Expert

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Frequently Asked Questions

What is the assessment actually like?

Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.

How quickly can I start earning after I pass?

Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.

Is there a community?

Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.

Is this traditional consulting?

Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.

Why is the pay so high?

This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.

What is the workload like?

This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.

What is the barrier to entry?

Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.