CS Benchmark Expert - Fully Remote | Upto $84/hr

Mercor; Maharashtra; Remoto; INR 8.659.000 - 11.021.000; Tempo pieno

Descrizione del lavoro

Mercor is seeking an Applied Computer Science Benchmark Specialist for a remote contract role. You will design rigorous CS questions, test concepts, and rate difficulty, providing correct answers with distractors and references.

The engagement requires 10+ hours per week and deep expertise in CS theory, algorithms, ML, and systems design. The role emphasizes high-quality written English and precise, self-contained problem sets; collaboration with AI research labs and benchmarking efforts is

Competenze

• PhD or doctoral candidate in Computer Science, Electrical Engineering, or related field.
• Master's degree considered for 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.

Mansioni

• 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.

Descrizione del lavoro

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.

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: [e-mail]