Data Analysis Expert - Evaluator

Mercor

Greater London

Remote

GBP 34,000 - 55,000

Full time

14 days+

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Job summary

Mercor is seeking expert Evaluators in Data analysis / quantitative readouts to review AI-generated artifacts for accuracy and quality. This is a remote, hourly engagement where you apply deep subject-matter expertise to grade outputs, focusing on factual and presentation standards.

You will evaluate artifacts across documents and slides, provide structured feedback, and help improve the quality of automated outputs with rigorous rubrics and clear recommendations.

Qualifications

  • 5+ years of relevant professional experience in Data analysis / quantitative readouts.
  • 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

Data analysis
Quantitative readouts
English fluency

Education

Master's degree or higher

Tools

Microsoft Office
Google Workspace
Slides

Job description

About the role

We are hiring expert Evaluators in Data analysis / quantitative readouts 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 Data analysis / quantitative readouts.

  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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