Lead Data Scientist

About The Job

Mercor

Benchmark

General Catalyst

Peter Thiel

Adam D'Angelo

Larry Summers

Jack Dorsey

Position:

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