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[LONG PROJECT] Anonymization Quality Reviewer

Mercor Experts · Remote · AI model evaluation

[LONG PROJECT] Anonymization Quality Reviewer is an open role at Mercor Experts, available remotely, with pay listed as $45–$60/hr.

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At a glance

Pay
$45–$60/hrStated by Mercor Experts
Location
Remote
Listed
Since Oct 22, last confirmed Oct 22

How the pay compares

This role$60
Mercor Experts median$98
AI model evaluation median$65
All roles median$60

Higher than 43% of the 270 distinct hourly rates advertised for AI model evaluation roles right now. Hourly USD, top of each advertised range, one count per distinct rate. Same method as the Pay Index.

From Mercor Experts’ listing

“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.”
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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,

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Frequently asked questions

How do I apply for the [LONG PROJECT] Anonymization Quality Reviewer role at Mercor Experts?

Applications go through Mercor Experts's own portal - HumanSourcer links to the listing and never collects applications or handles hiring. Mercor Experts's access model is "Apply" (Profile / role application). This listing was first seen here on October 22, 2026 and was still live at the last check.

Is the [LONG PROJECT] Anonymization Quality Reviewer role at Mercor Experts remote?

Yes - Mercor Experts lists this role as remote.

What does the [LONG PROJECT] Anonymization Quality Reviewer role at Mercor Experts pay?

Mercor Experts lists this role's pay as $45–$60/hr, quoted from the listing rather than estimated.

What kind of work is [LONG PROJECT] Anonymization Quality Reviewer?

AI model evaluation. Law, medicine, finance, engineering, operations and AI evaluation

Is Mercor Experts a legitimate AI-training platform?

Direct expert network - and that relationship is rated "Confirmed" here because it can be checked against www.mercor.com rather than taken on Mercor Experts's word. Confidence describes how well the ownership is evidenced. It is not a rating of how the platform treats the people who work for it, which no public source covers reliably.

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