Computer Science Expert - Fully Remote | Upto $84/Hr

Mercor

San Francisco (CA)

Hybrid

GBP 69,000 - 88,000

Full time

5 days ago
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Job summary

Mercor connects elite creative and technical talent with leading AI research labs. The role, Applied Computer Science Benchmark Specialist, is a contract position offering remote work and a commitment of 10+ hours per week.

Must have a PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field, with strong command of CS theory, algorithms, systems design, and/or machine learning. Excellent written English is required.

Qualifications

  • PhD or doctoral candidate in CS/EE or related field.
  • Strong command of CS theory, algorithms, systems design, and ML.
  • Excellent written English.

Responsibilities

  • Author original computer science questions to test deep conceptual understanding.
  • Rate each question's difficulty as Medium, Hard, or Expert; provide 1 correct answer and 9 distractors.
  • Write step-by-step Chain-of-Thought solutions with 1–5 references per question.
  • Review pre-written questions for accuracy and clarity; flag issues and justify edits.
  • Work independently and asynchronously to meet deadlines while advancing AI capabilities.

Skills

PhD in CS/EE
CS theory
Algorithms
Systems design
Machine learning

Education

PhD or doctoral candidate in Computer Science or Electrical Engineering
Master's degree considered for exceptional depth

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 to test deep conceptual understanding. Ensure questions are unambiguous, self-contained, and precisely defined.
  • Rate each question's difficulty as 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, review pre-written questions for accuracy and clarity. Flag issues and justify any edits made.
  • Work independently and asynchronously to meet deadlines while advancing AI capabilities.
Qualifications

Must-Have

  • PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
  • 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

  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Research publications, industry experience at top tech companies, or competitive programming background.
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
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