Engineering PhD - Benchmark Specialist - AI Trainer

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.

Role Responsibilities

• Author original engineering questions that test deep conceptual understanding, not surface-level recall.
• Ensure questions are unambiguous, self-contained, and precisely defined. Include all necessary information in the problem statement.
• Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above).
• Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers.
• Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format.
• Supply 1–5 academic references per question from reputable sources like peer-reviewed journals or university repositories.
• For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made.

Qualifications

• Must-Have: PhD or doctoral candidate in Engineering or a closely related field.
• Master's degree considered for candidates with exceptional depth in a specific subdomain.
• Strong command of graduate-level engineering principles, applied mathematics, and domain-specific standards.
• Professional engineering licensure (PE) or industry experience is a strong plus.
• Excellent written English and ability to express complex ideas clearly and concisely.

Pay & Schedule

• Compensation: $61–$77/hour
• Location: Remote
• Commitment: 10+ hours/week

Application Process

Takes 20–30 mins to complete:

• Upload resume
• AI interview based on your resume
• Submit form

For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome

For any help or support, reach out to: support@mercor.com