Engineering Evaluator - Domain Expert

Mercor

Greater London

On-site

GBP 34,000 - 55,000

Part time

14 days+

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Job summary

Mercor is seeking expert Evaluators in Engineering / manufacturing / technical operations to review AI-generated 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 include 5+ years of relevant experience, native or professional fluency in English, and high proficiency in Microsoft Office and Google Workspace, especially Slides.

Qualifications

  • 5+ years of relevant professional experience in Engineering / manufacturing / technical 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

Engineering experience
English fluency
Technical operations experience

Education

Master’s degree or higher

Tools

Microsoft Office
Google Workspace
Google Slides
PowerPoint

Job description

About the role

We are hiring expert Evaluators in Engineering / manufacturing / technical 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 Engineering / manufacturing / technical 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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