Data Science Evaluator - Expert

Obsidian; San Francisco (CA); Remote; USD 55,000 - 131,000; Part time

Job summary

Obsidian is seeking expert Evaluators in Data Science to review AI-generated work products such as slides, spreadsheets, and documents, applying deep subject-matter knowledge to grade outputs remotely.

This hourly engagement requires 5+ years of Data Science experience, native or professional English, and strong command of PowerPoint, Excel, Word and Google Workspace.

You will provide structured written feedback highlighting usability and quality issues for real-world data science contexts.

Qualifications

• 5+ years of relevant Data Science experience at a top firm in US/UK/Canada/Australia/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 contexts.
• 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

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.