Data Science Evaluator - Expert

Mercor

Greater London

Remote

GBP 55,000 - 83,000

Part time

10 days ago
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Job summary

Mercor seeks expert Evaluators in Data Science to review AI-generated work products such as slides, spreadsheets and documents. You will apply deep subject-matter expertise to grade outputs and provide structured feedback.

This is a remote, hourly engagement designed for highly qualified professionals with experience at top firms. Responsibilities include evaluating usability, identifying factual and presentation errors, and delivering clear written feedback to improve artifacts used in

Qualifications

  • 5+ years of data science experience at a top firm in the US/UK/CA/AU/NZ.
  • Native or professional fluency in English.
  • Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).

Responsibilities

  • Evaluate AI-generated artifacts for usability in data science context.
  • Identify factual, aesthetic, and presentation errors.
  • Provide clear, structured written feedback.

Skills

Data science expertise
English fluency
Critical thinking & feedback

Education

Advanced degree (Master's or higher)

Tools

Microsoft Office
Google Workspace
PowerPoint
Excel
Word

Job description

About the role

We are hiring expert Evaluators in Data Science to review and assess AI-generated work products (slides, spreadsheets, and documents) for real-world 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 Science at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.

  2. Native or professional fluency in English.

  3. Highly proficient in Microsoft Office and Google Workspace (PowerPoint, Excel, Word).

Preferred (nice to have)
  • Advanced degree (Master's or higher) from a reputable institution.
What you'll do
  • Evaluate AI-generated artifacts for usability in data science context.

  • Identify factual, aesthetic, and presentation errors.

  • Provide clear, structured written feedback.

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