Customer Success Operations Evaluator

Mercor

Greater London

Remote

GBP 28,000 - 52,000

Full time

14 days+

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Job summary

Mercor is hiring expert Evaluators in Customer success / support operations to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement. The role demands 5+ years in customer success / support operations, native English, and strong proficiency with Microsoft Office and Google Workspace, especially Slides.

Qualifications

  • 5+ years of professional experience in Customer success / support operations.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).

Responsibilities

  • Evaluate AI-generated artifacts against domain-specific quality rubrics.
  • Identify factual, aesthetic, and presentation errors.
  • Provide clear, structured written feedback.

Skills

5+ years in Customer success / support
Native English
Office & Workspace proficiency

Education

Advanced degree (Master's or higher)

Tools

Microsoft Office
Google Workspace
Google Slides
PowerPoint

Job description

About the role

We are hiring expert Evaluators in Customer success / support operations to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.

This is a remote, hourly engagement.

Requirements (must have)
  1. 5+ years of relevant professional experience in Customer success / support operations.

  2. Native or professional fluency in English.

  3. Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).

Preferred (nice to have)
  • Advanced degree (Master's or higher) from a reputable institution.
What you'll do
  • Evaluate AI-generated artifacts against domain-specific quality rubrics.

  • Identify factual, aesthetic, and presentation errors.

  • Provide clear, structured written feedback.

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