CS PhD - AI Benchmark Specialist - AI Trainer

Job Description

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: Applied Computer Science Benchmark Specialist
Type: Contract
Compensation: $66–$84/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

• Author original computer science questions that test deep conceptual understanding.
• Ensure questions are unambiguous, self-contained, and precisely defined.
• Rate each question's difficulty: Medium, Hard, or Expert.
• Provide 1 correct answer and 9 plausible but subtly incorrect alternatives.
• Write step-by-step Chain-of-Thought solutions in markdown format.
• Supply 1–5 academic references per question from reputable sources.
• For verification tasks: flag issues with clarity, completeness, precision, or solvability.

Qualifications

Must-Have

• PhD or doctoral candidate in Computer Science , Electrical Engineering , or a closely related field.
• Master's degree considered for candidates with exceptional depth in a specific subdomain.
• Strong command of graduate-level CS theory , algorithms , systems design , and/or machine learning .
• Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

• Research publications, industry experience at top tech companies, or competitive programming background.

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:
• For any help or support, reach out to: View email address on ziprecruiter.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.