Himalayas · Partner listingComputer Science Expert - Fully Remote | Upto $84/hr
mercor
⌖ United KingdomSalary not providedRemoteContract · Not specified
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: United Kingdom
About the role
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 SpecialistType:ContractCompensation:$66–$84/hourLocation:RemoteCommitment: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.
Application Process (Takes 20–30 mins to complete)
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Originally posted on Himalayas
Skills mentioned in the listing
Electrical engineeringMachine learning
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Electrical engineering · requirement-context
ies. 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
Machine learning · desirable
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 conside