Data Scientist - 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 Scientist Talent Network

Role Responsibilities

• 🔹Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups .
• 🔹Evaluate AI-generated or human-created work against established criteria to ensure quality and consistency.
• 🔹Provide detailed written justifications for evaluations and scores to maintain transparency and accountability.
• 🔹Apply consistent, evidence-based judgment to ensure assessments are reproducible and defensible.
• 🔹Incorporate structured feedback from senior reviewers and iterate on submitted work for continuous improvement.
• 🔹Work independently and asynchronously to meet deadlines and improve AI model performance .

Qualifications

Must-Have

• 🔹1+ years of professional data science experience.
• 🔹Experience at a leading technology, research, or quantitative firm.
• 🔹Strong command of Python , SQL , statistical modeling , machine learning , and experimentation .
• 🔹Exceptional written communication skills.
• 🔹Detail-oriented and consistent approach to evaluating complex work.
• 🔹Comfort receiving feedback and calibrating judgment against established standards.

Application Process (Takes 20–30 mins to complete)

• 🔹Upload resume
• 🔹AI interview based on your resume
• 🔹Submit form

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: [email protected]

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