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 Algorithms & Data Structures, Machine Learning & AI, Systems, Networks & Theory, Computer Security, Software Engineering, Miscellaneous Computer Science. 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
Remote Computer Science Assessment Specialist - AI Trainer ($35-$75 per hour) • Eugene, Oregon, US
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