First seen by our source: 20 days ago
CS Benchmark Expert - Fully Remote | Upto $84/hr
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Applied Computer Science Benchmark Specialist at $66–$84/hour for 10+ hours per week. The role authors and verifies graduate-level computer science questions, with answers, solutions and references, for AI research labs.
Pay:
$66–$84 an hour
Responsibilities:
- Author original computer science questions testing deep conceptual understanding
- Write one correct answer and nine plausible incorrect alternatives
- Rate question difficulty as Medium, Hard or Expert
- Write step-by-step Chain-of-Thought solutions in markdown
- Supply 1–5 academic references per question
Requirements summary:
- PhD or doctoral candidate in Computer Science, Electrical Engineering or related field
- Master's considered for exceptional subdomain depth
- Strong graduate-level CS theory, algorithms, systems design or machine learning
- Excellent written English
- Preferred: research publications or top tech industry experience
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-18
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Hours per week | 10 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Doctorate (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Electrical Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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 that 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: flag issues with clarity, completeness, precision, or solvability.
Qualifications
Must-Have
- PhD or doctoral candidate in Computer Science, Electrical Engineering, or a closely related field.
- Master's degree considered for candidates with exceptional depth in a specific subdomain.
- 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
- Research publications, industry experience at top tech companies, or competitive programming background.
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: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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