Finance Expert — AI Model Reviewer
Alignerr • Remote
Education
Any
Type
Pay Rate
$80/task
Listed
31d ago
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About this Role
What You'll Do
- Review AI-generated financial analyses, models, and explanations for technical accuracy and methodological soundness
- Audit task instructions and evaluation rubrics to ensure they correctly test real-world finance concepts — DCF, WACC, P&L analysis, financial statement modeling, valuation, and more
- Evaluate whether AI outputs correctly apply core financial frameworks, formulas, and industry-standard terminology
- Identify errors in financial logic, modeling assumptions, calculation methodology, or presentation
- Provide clear, structured expert feedback that pinpoints exactly what's wrong and how to fix it
- Assess the quality and rigor of financial reasoning across a range of complexity levels
- Work independently and asynchronously — fully on your own schedule
About the Role
What if your years of building DCF models, running comps, and dissecting financial statements could directly shape how AI handles finance for millions of users? We're looking for experienced finance professionals to audit and refine AI-generated financial modeling tasks, ensuring the AI gets the numbers, the methodology, and the reasoning right. You'll serve as the expert in the room: reviewing task instructions, scoring rubrics, and AI outputs across core finance disciplines, then providing the clear, structured feedback that makes AI smarter. Whether your background spans investment banking, equity research, wealth management, corporate finance, or FP&A, this is your chance to leverage that expertise in a completely new way. This is a fully remote, flexible contract role. No AI background needed — just deep finance knowledge and a sharp analytical eye.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Deep hands-on experience in finance — investment banking, equity research, corporate finance, FP&A, wealth management, or a closely related field
- Strong command of financial terminology and concepts: DCF, WACC, comparable company analysis, precedent transactions, balance sheet analysis, three-statement modeling, LBO fundamentals
- Able to spot errors in financial models, assumptions, and methodologies quickly and precisely
- Clear, concise communicator who can explain complex financial concepts and flag issues in writing
- Naturally detail-oriented with high standards for analytical rigor
- Self-motivated and reliable when working independently
- No prior AI or tech experience required
Nice to Have
- CFA, CPA, CA, MBA (Finance), or equivalent professional credential
- Experience mentoring, training, or reviewing junior analysts' work
- Background in financial modeling instruction or curriculum development
- Familiarity with AI tools or content evaluation workflows
- Exposure to multiple finance sub-disciplines (M&A, credit, private equity, treasury, structured products)
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, task-based work
- Make a direct impact on how AI understands and performs financial analysis
- Apply your hard-earned finance expertise in a novel, high-impact way
- 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 Business
Compensation Analysis
What if your years of building DCF models, running comps, and dissecting financial statements could directly shape how AI handles finance for millions of users? We're looking for experienced finance professionals to audit and refine AI-generated financial modeling tasks, ensuring the AI gets the numbers, the methodology, and the reasoning right. Yo
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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.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.
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.