Train AI on Accounting Reasoning.
The models shaping the future of AI are only as rigorous as the accounting experts behind them. Apply your expertise where it matters, and get paid to do it.
Mark
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This is not busywork.
The most advanced language models still misapply accounting standards, invent disclosure requirements, and confuse debit-credit logic in complex transactions. You're the professional filter that catches what machines can't — one disclosure at a time.
Three steps.
No overhead.
Apply & Qualify
Complete a short accounting reasoning assessment. We evaluate your ability to identify misapplied standards, catch journal entry errors, and verify financial statement logic. No résumé required — your technical judgment speaks.
Get Matched
Based on your background and assessment results, you're matched to projects in your areas of expertise. Financial reporting, tax, audit, consolidation, and forensic accounting are all available depending on your areas of expertise.
Work & Get Paid
Complete tasks on your own schedule. Each task has clear analytical specifications and a defined scope. Payment is per-task, processed weekly, starting at $50/hour.
What you'll actually do.
Write a prompt
Craft precise accounting prompts designed to probe the boundaries of model reasoning. Not trivia, but questions that expose misapplied standards, flawed journal entries, and hallucinated disclosure requirements.
Review AI output
Evaluate model-generated financial analysis line
by line. Identify hallucinated earnings figures, misapplied discount rates, and logical gaps in risk assessment frameworks.
Write the correct solution
Author a complete, analytically rigorous financial analysis that demonstrates the correct reasoning. This helps the model learn what sound accounting judgment actually looks like.
Where models need you most.
These are the accounting domains where current AI systems consistently produce material errors. Your expertise directly addresses the hardest open problems in accounting AI.
Revenue Recognition (ASC 606)
Evaluate AI reasoning about the five-step model, performance obligations, variable consideration, and timing of recognition. Verify correct application of principal-vs-agent analysis and contract modification accounting.
Lease Accounting (ASC 842)
Review model outputs on lease classification, right-of-use asset measurement, discount rate selection, and modification accounting. Catch errors in the lease-vs-nonlease component allocation and reassessment triggers.
Business Combinations (ASC 805)
Assess AI-generated acquisition accounting, including fair value allocation, goodwill calculation, bargain purchase analysis, and measurement period adjustments. Verify correct treatment of contingent consideration and in-process R&D.
Financial Statement Consolidation
Evaluate reasoning about variable interest entities, intercompany eliminations, noncontrolling interests, and equity method investments. Identify errors in consolidation entries, particularly around foreign currency translation and step acquisitions.
Tax Accounting (ASC 740)
Review model outputs on deferred tax asset/liability calculations, valuation allowances, uncertain tax positions, and intraperiod tax allocation. Verify correct application of the more-likely-than-not threshold and effective tax rate reconciliation.
Professional-grade standards.
We require excellence, just as you would in a Big Four engagement. The CPAs and accounting professionals on our platform aren't here to tick boxes. They're here because the quality standard matters to them.
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“This is evaluation by people who understand system behavior and edge cases. The focus is always on improving model reliability.”
Daniel
Research Engineer
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“Every decision is grounded in first-principles reasoning. The standards are comparable to what I’ve seen in academic and industrial research.”
Anita
Applied Scientist
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“This is annotation done by people who understand models, not just labels. The quality bar is high and enforced.”
Elena
Senior ML Engineer
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“The work demands subject-matter expertise. Decisions are justified, reviewed, and aligned to well-defined taxonomies.”
Stephen
Research Scientist
Accounting tasks completed weekly
Active accounting contributors
Standards covered
Built for people who think in debits and credits.
Accounting Students
MAcc candidates and advanced accounting students with strong foundations in financial reporting, audit methodology, and tax compliance.
Public Accountants
Big Four and mid-market audit and tax professionals looking for flexible, intellectually engaging work outside busy season.
Controllers & CFOs
Industry accounting leaders applying financial reporting expertise and GAAP knowledge to AI training data on their own schedule.
Internal Audit & Compliance Professionals
Risk, compliance, and internal audit professionals with deep knowledge of control frameworks, regulatory requirements, and financial reporting standards.
Frequently Asked Questions
Have questions? Here we answer the most common questions.
You’ll work on tasks that help AI perform better—like reviewing responses, checking accuracy, refining prompts, and rating outputs. No coding or technical background needed.
You’ll work on projects that improve AI systems, such as reviewing responses, checking accuracy, refining prompts, ranking outputs, and validating model behavior.
Projects include data labeling, annotation, evaluation, and quality review across text, images, and structured tasks—focused on improving real production AI systems.
This is ideal for people with strong reasoning skills, attention to detail, and subject-matter expertise who want flexible, remote work with real impact.
This is a flexible, task-based contractor role. There is no long-term commitment required, and you can work as much or as little as you choose.
Available projects vary but commonly include prompt evaluation, response ranking, factual accuracy checks, domain-specific review, and structured annotation tasks.
Researchers, students, professionals, and independent contributors who enjoy analytical work and want to contribute to advancing AI systems.
This is remote, asynchronous work focused on output quality rather than hours logged. Performance is evaluated based on contribution quality and consistency.
Get ahead in a changing workforce.
No recruiters. No interviews. Just meaningful work and real compensation.