Data Science Specialist - Fully Remote

Mercor

New York (NY)

Remote

USD 55,000 - 110,000

Part time

10 days ago
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Job summary

Mercor is seeking expert Evaluators in Data Science to review and assess AI-generated work products such as slides, spreadsheets, and documents for real-world quality. You will apply deep subject-matter expertise to grade outputs in a remote, hourly engagement.

The role requires 5+ years in Data Science at a top firm, native or professional English fluency, and strong proficiency in Microsoft Office and Google Workspace (PowerPoint, Excel, Word). An advanced degree is a plus.

Qualifications

  • 5+ years of relevant professional experience in Data Science at a top firm in the United States, United Kingdom, Canada, Australia, or New Zealand.
  • 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 experience
English fluency

Education

Master's degree 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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