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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