[LONG PROJECT] Anonymization Writer

$45–55/hr

rate as listed

Workload: 30+ hrs/week
Engagement: Project-based
Location: US
Field: Creative

Review business documents and structured records to identify, type and consistently group personally identifiable information. This contract role requires prior AI data work, careful rule application and a commitment of at least 30 hours per week.

The work

You will review CRM exports, emails, support tickets, chat logs and accounting records containing dozens or hundreds of individual PII decisions. Day to day, that means confirming, rejecting, adding and typing identifiers, clustering references to the same person or organization, catching information automated detection missed and avoiding false positives. Reviewers check completed work before delivery.

What the screening emphasizes

The platform is likely to verify your prior AI labelling, response rating or AI-output QA experience through concrete examples and follow-up questions. Expect judgment tests covering direct and indirect identifiers, entity clustering, ambiguous cases, guideline changes and the distinction between escalating uncertainty and guessing. Excellent written English is required. Familiarity with PII or privacy concepts, medical record de-identification, copy-editing, paralegal work or structured business data is preferred rather than required.

Working expectations

This is a remote, asynchronous contract for US-based contributors with reliable internet and a quiet, focused workspace. You must commit 30+ hours per week and treat it as your main project. Task data must be handled entirely without AI assistance, and ambiguous cases should be raised in the project channel.

Project structure

The project is intended to run long term, although continued work is not guaranteed. Guidelines may change several times a week, so contributors are expected to check the version in force each working day and apply reviewer feedback across related tasks. Strong writers may be considered for reviewer responsibilities.

Pay band: $45–55/hr

What they look for

Prior experience with AI data labelling, AI response rating or QA/review of AI outputs
Accurate identification and typing of personal information across detailed records
Experience in detail-heavy work such as operations, accounting, editing, design, compliance or account management
Ability to apply frequently changing guidelines and propagate reviewer feedback
Excellent written English
Ability to work on task data entirely without AI assistance

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This verifies direct AI data-work experience and whether the candidate can distinguish their own annotation or review responsibilities from the broader team’s work.
A strong answer: Give the project type, data format, decision rubric, workflow and your specific responsibilities, then name a quality measure or reviewer outcome. Be ready to explain one difficult judgment in detail.
Where people lose it: Candidates lose points by describing AI use in general or a team project without showing that they personally labelled, rated or reviewed outputs against defined criteria.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.