Data Science Expert - AI Evaluation

Role Responsibilities

• Design precise, task-specific grading criteria for real-world data science deliverables.
• 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 skills.
• Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.

Preferred Qualifications

• Prior experience with AI training, evaluation, or human-data projects.

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.

Resources & Support

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome.

For any help or support, reach out to: support@mercor.com.