Applied Computer Science Benchmark Specialist

Role Overview

We are seeking expert computer scientists to author and review high-quality academic assessment content for an AI research initiative. You will write and verify rigorous multiple-choice questions across core computer science domains, evaluate solution quality, and help establish gold-standard benchmarks used to advance AI capabilities.

You will be assigned one of two task types

• Question Authoring, Create original, challenging multiple-choice questions in your area of computer science expertise, rate their difficulty, and submit them for review.
• Question Verification, Review pre-written questions for accuracy, clarity, and rigor. Edit where needed, rate difficulty, and document any changes made.

Computer Science Domains Covered

Accelerator / GPU Kernel Engineering, Formal Methods & Automated Reasoning, Computer Architecture & Accelerators, Distributed Systems, DevOps & Site Reliability, Data Engineering & Databases, Cloud & Infrastructure, OS & Systems Kernel, Machine Learning Engineering, Web & API Development, Embedded Systems Engineering, Computer Graphics & Game Development, Mobile Engineering.

Key Responsibilities

• Author original computer science questions that test deep conceptual understanding, not surface-level recall
• Ensure questions are unambiguous, self-contained, and precisely defined, all necessary information must be in the problem statement
• Rate each question's difficulty: Medium (intro undergraduate), Hard (advanced undergraduate), or Expert (post-graduate and above)
• Provide 1 correct answer and 9 plausible but subtly incorrect alternatives that challenge expert-level solvers
• Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format
• Supply 1 to 5 academic references per question from reputable sources (peer-reviewed journals, university repositories)
• For verification tasks: flag issues with clarity, completeness, precision, or solvability and justify any edits made

Ideal Qualifications

• 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
• Research publications, industry experience at top tech companies, or competitive programming background is a strong plus
• Excellent written English and ability to express complex ideas clearly and concisely

More About the Opportunity

• Expected commitment: 10+ hours/week
• Asynchronous, fully remote work