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
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
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
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.