SOX Audit Expert
Engagement: 2 weeks · 8 hours/week Compensation: Competitive hourly rate
The Opportunity
We are building an AI-native platform for SOX control testing — one where an AI agent reads an audit workpaper, classifies every sheet, extracts sample rows, identifies exceptions, and generates PCAOB-defensible narratives. Automatically.
The engineering is working. What it needs now is an expert who can tell us when it's right and when it only looks right.
This is not a training role. This is not a data labeling role. This is the role where a seasoned auditor looks at what the AI produced, applies the kind of judgment that comes from years of real engagements, and tells us exactly where professional standards would push back — and why.
Your input directly shapes how AI handles SOX compliance for public companies. That influence starts on day one.
What You Will Actually Do
Review AI-generated workpaper interpretations against real audit standards. The system parses uploaded Excel workpapers and makes decisions: which tab is the testing table, which rows are samples, which variance is an exception. Y
