[Hiring] Data Science Expert - AI Evaluation @Mercor

Role Description

• Design precise, task-specific grading criteria for real-world data science deliverables such as analyses, models, dashboards, and experiment readouts.
• Score AI-generated and human work samples against criteria with detailed written justifications for every score.
• Apply consistent, evidence-based judgment to ensure scores are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate quickly on your work.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Qualifications

• Must-Have:
• 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.
• Preferred:
• Prior experience with AI training, evaluation, or human-data projects.

Company Description

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.