DATA SCIENTIST - AI EVALUATION
mercor
Part-timejunior€100-150/hour
Job description
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
Type: Contract
Compensation: $100–$150/hour
Location: Remote
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: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Skills
PythonSQLstatistical modelingmachine learningexperimentation