Auditor

Overview

Ask a model to plan an audit and it produces a tidy program, then sets materiality by feel, accepts a management assertion as if it were evidence, and designs a sample that would never support the conclusion it draws. Professional skepticism is exactly what it lacks. An auditor like you is who supplies it.

As an Auditor you'll evaluate AI work on audit procedures, internal controls, and assurance judgment, test whether the evidence actually supports the opinion, and write the approach a careful auditor would stand behind.

What you’ll actually do

• Draft prompts that test how models handle audit planning, controls testing, sampling, and assurance judgment.
• Review AI output for mis-set materiality, weak evidence, flawed sampling, and missing professional skepticism, and rate the reasoning.
• Write the correct procedure when the model falls short, with the working papers a reviewer would expect.

Roles this fits

Common backgrounds: Audit Manager, Internal Auditor, SOX Compliance Analyst.

What we look for

• Hands-on audit experience: external, internal, or controls and SOX work.
• Comfort with audit standards, materiality, and evidence evaluation.
• 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

Apply

Qualify

Work & get paid

Compensation

Up to $75 – $125+/hr depending on task difficulty and specialization. Many contributors add $10k–$100k+ a year; some make it their full-time income.

About DataAnnotation

DataAnnotation is where 100k+ experts train the world’s leading AI models. $150M+ paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available.