Applied Computer Science Benchmark Specialist

About this role

**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 1–5 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

Skills & domains

• ai-training
• rlhf
• sme
• annotation
• Miscellaneous