Data Science Expert - review AI outputs in your specialty

1\. Role Overview

Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

2\. Key Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations)

• Score AI-generated and human work samples against those criteria, with detailed written justifications for every score

• Apply consistent, evidence-based judgment so that scores are reproducible and defensible

• Incorporate structured feedback from senior reviewers and iterate quickly on your work

3\. Ideal Qualifications

• 5+ years of professional data science experience in industry

• Background in business operations, product, or growth data science at top-tier technology companies

• Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders

• Exceptionally strong written communication

• Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers

• Prior experience with AI training, evaluation, or human-data projects is a strong plus

4\. Application Process

• Submit your resume or relevant technical background to get started

• Qualified applicants may be asked to complete a brief technical assessment or submit additional information