Engineering PhD - Benchmark Specialist

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 Engineering Benchmark Specialist
Type: Contract
Compensation: $61–$77/hour
Location: Remote
Commitment: 10+ hours/week
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.

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:

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

Originally posted on Himalayas