Data Science Expert - AI Evaluation

About the job

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 .

Position: Data Science Expert

Type: Contract

Compensation: $120–$170/hour

Location: Remote

Role Responsibilities

• 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.

Application Process (Takes 20–30 mins to complete)

• 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.

Resources & Support

• For details about the interview process and platform information, please check:
• For any help or support, reach out to:

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Originally posted on Himalayas