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DataAnnotation is seeking a Public Accountant to craft audit prompts and evaluate AI outputs against GAAP/GAAS frameworks. You’ll create tests for assertions, sampling, and materiality, and document the best approach with solid evidence.
In a remote-friendly role, you’ll review model outputs, identify weak support, and tie conclusions to professional standards, ensuring clarity and reliability in financial audits.
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.
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.
Common backgrounds: CPA, Audit Associate, Public Accountant.
Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income.
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.