Data Science Specialist - Fully Remote | Upto $170/hr

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