About this role
DataAnnotation
Overview
A model will design an audit approach that reads well and would never survive review: a sample that tests the wrong assertion, a control it calls effective without evidence, a materiality call set where it is convenient. Sign-off on that is how findings get missed, and a public accountant like you is who prevents it.
As a Public Accountant you'll evaluate AI on audit, assurance, and public accounting standards, check the work against the current framework, and write the answer a careful CPA would stand behind.
What you’ll actually do
- Draft prompts that probe audit procedures, assertions, sampling, and materiality across engagements.
- Review AI output for weak evidence, wrong assertions, misapplied standards, and unsupported conclusions, and rate the reasoning.
- Write the correct approach when the model falls short, tied back to the standards.
Roles this fits
Common backgrounds: CPA, Audit Associate, Public Accountant.
What we look for
- Public accounting experience: audit, assurance, or tax.
- Comfort with GAAP and GAAS and tracing a conclusion to its evidence.
- Clear written English: your explanations are the training signal.
- No degree required. We care about what you can do, not where you learned it.
How it works
Compensation
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
About DataAnnotation
DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.
Apply now