Mercor

Chief Data Scientist | Upto $100/hr Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Chief Data Scientist, offering $45–$100/hour for a full-time position, remote or in Palo Alto, CA. Requires a Master's/PhD in Data Science or related field, strong analytical skills, and AI experience. Expected duration exceeds 6 months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
800
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🗓️ - Date
October 22, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Mathematics #Data Science #Datasets #Statistics #Databases #Computer Science #AI (Artificial Intelligence) #Model Evaluation #ADaM (Analysis Data Model)
Role 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: AI Tutor – Data Science Specialist Type: Full-time Compensation: $45–$100/hour Location: Palo Alto, CA (in-office, 5 days/week) or Remote Role Responsibilities • Use proprietary software to label, annotate, and evaluate AI-generated outputs related to data science and quantitative modeling. • Deliver high-quality curated datasets that strengthen model understanding and reasoning. • Collaborate with technical teams to train, test, and refine data-driven AI systems. • Provide input on the design and improvement of annotation tools to ensure efficient workflows. • Interpret, analyze, and execute evolving task instructions with precision and critical thinking. • Contribute to advancing innovative research initiatives by applying deep domain knowledge. Qualifications Must-Have • Master’s degree or PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related field; or a medal in the International Mathematical Olympiad (IMO) or a comparable global competition. • Proficiency in both informal and professional English communication. • Strong ability to navigate academic databases, research materials, and online resources. • Excellent communication, organizational, and analytical skills. • Ability to work independently and apply sound judgment with limited guidance. • Passion for technological innovation and AI advancement. Preferred • At least one publication in a reputable journal or recognized research outlet. • Prior experience as an AI Tutor or in a related training and data annotation role. • Teaching or academic experience (professor, instructor, or tutor). • Experience in technical writing, journalism, or professional communication. • Professional background as a Data Scientist or researcher in quantitative domains. Compensation & Legal • Hourly contractor • International pay rates available upon request. • Hourly pay is part of a broader rewards package; benefits vary by country. Application Process (Takes 20–30 mins to complete) • Submit your resume or CV to begin the process. • Complete a brief screening interview. • If selected, proceed to: • A technical deep-dive on your data science and annotation experience. • A take-home challenge focused on applied data labeling or model evaluation. • A team meet-and-greet with project collaborators. • The full interview process is designed to conclude within one week. Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/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. ,