Quantitative Researcher

About The JobMercor 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 SpecialistType: Full-timeCompensation: $45–$100/hourLocation: Palo Alto, CA (in-office, 5 days/week) or RemoteRole ResponsibilitiesUse 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.QualificationsMust-HaveMaster’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.PreferredAt 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 & LegalHourly contractorInternational 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 & SupportFor details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcomeFor any help or support, reach out to: support@mercor.comPS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.,