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Engineering PhD - Assessment Specialist - AI Trainer

Role overview

Qualifications

  • 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
  • Excellent written English and ability to express complex ideas clearly and concisely

Responsibilities

  • Author original engineering questions that test deep conceptual understanding in Semiconductor Design Manufacturing (VLSI), Control Science and Engineering, Mechatronics, and other domains
  • Ensure questions are unambiguous, self-contained, and precisely defined, with all necessary information in the problem statement
  • Rate each question's difficulty as Medium, Hard, or Expert, providing 1 correct answer and 9 plausible alternatives to challenge expert-level solvers
  • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format

Key facts

Hard skills

Other skills

  • Problem Solving
  • Communication

About the company

Mercor logo

Mercor

  • Job Boards & Talent Marketplaces
  • 51–200
Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $2 million a day.

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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 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 in Semiconductor Design & Manufacturing (VLSI), Control Science and Engineering, Mechatronics, and other domains.
  • Ensure questions are unambiguous, self-contained, and precisely defined, with all necessary information in the problem statement.
  • Rate each question's difficulty as Medium, Hard, or Expert, providing 1 correct answer and 9 plausible alternatives to 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 and 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.

Resources & Support

  • 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

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



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