[LONG PROJECT] Anonymization Quality Reviewer

About the Role

We're hiring Reviewers on a contract basis for Project Sisyphus, a PII anonymization program. Writers work through business documents and structured records (CRM exports, email, tickets, chat logs, accounting data) confirming what is and isn't personal information and grouping related entities. You review that work before it ships. The job is catching what the writer missed, and equally, not sending back work that was right.

We are working to build a lasting team - this project is an internal one, and so will be running long into the future. We want reviewers that we can build lasting teams and structures around

What You'll Do

• Review completed tasks against the current guidelines and decide, for each, whether it is ready to approve or needs edits
• Catch missed PII, wrong classifications, and incorrect entity groupings across tasks with dozens to hundreds of individual decisions
• Send work back only for real defects, with feedback specific enough that the writer can fix it in one pass
• Keep up with guideline updates that land several times a week and apply the version in force on the day you review
• Work asynchronously with a distributed team, and raise ambiguous cases in the project channel rather than guessing

What We're Looking For

• Prior experience in quality assurance, editorial review, compliance review, or another role where your judgment was the last check before delivery

• A sharp eye for detail across long, repetitive material, without drifting toward either rubber-stamping or over-flagging

• Clear, direct written feedback

• Comfort being measured: the review seat is held on accuracy, audited regularly, and can be lost and re-earned

• Comfort with rules that change frequently and a habit of checking the current guideline before relying on memory

• Reliable internet connection and a quiet, focused workspace

• Experience in post-reading jobs such as copy-editing, paralegals, or medical de-identifiers

  Nice to Have

• Familiarity with PII, privacy, or data-protection concepts (what counts as an identifier, direct versus indirect identification)

• Experience with data annotation, labeling review, or evaluation workflows

• Experience reading structured business data such as CRM, ticketing, email, or accounting exports

• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.