Data Science Specialist - Fully Remote | Up to $150/hr

Obsidian

Sydney

Remote

AUD 49,000 - 118,000

Full time

10 days ago
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Job summary

Obsidian is seeking 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. You will provide clear, structured written feedback on usability, accuracy, and presentation.

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
Microsoft Office
Google Workspace

Education

Master's degree preferred

Tools

PowerPoint
Excel
Word
Google Workspace

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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