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Posted May 31, 2026

Operations Research Model Prompt Evaluator

**Role Overview** We are seeking expert operations research professionals to author and verify high-quality open-ended prompts for AI model evaluation. You will craft and review challenging, unambiguous optimization and decision-science problems across core subdomains, assessing AI reasoning quality and helping establish rigorous evaluation standards for frontier language models. You will be assigned one of two task types: - **Authoring Task** — Create 5 original, open-ended prompts from your assigned subdomain at varying difficulty levels (undergraduate, advanced undergraduate, or graduate/professional). Prompts should require human judgment to evaluate the quality of the AI's response, such as optimization modeling, algorithmic analysis, or stochastic reasoning. - **Verification Task** — Review 5 authored prompts for clarity, scope alignment, difficulty accuracy, and uniqueness. Edit prompts and difficulty ratings where needed. • *Operations Research Subdomains Covered** Linear & Integer Programming, Network Optimization & Graph Theory, Stochastic Models & Queuing Theory, Game Theory & Decision Analysis, Supply Chain & Logistics Optimization, Simulation & Metaheuristics. • *Key Responsibilities** - Author clear, unambiguous, open-ended operations research prompts that elicit evaluable AI responses - Verify prompts are within the scope of the assigned subdomain and correctly rated for difficulty - Ensure all 5 prompts in a task are sufficiently distinct from one another with varying difficulty levels - Apply expert judgment to assess the depth and quality of quantitative reasoning required - Edit prompts and difficulty assignments where standards are not met • *Ideal Qualifications** - Master's degree or higher in Operations Research, Industrial Engineering, Applied Mathematics, or a closely related field - 2–6 years of professional or research experience in optimization, logistics, or decision science - Strong command of mathematical programming, probabilistic modeling, and algorithmic methods - Experience with solvers (Gurobi, CPLEX) or simulation tools is a strong plus - Excellent written English and ability to craft precise, well-scoped technical questions • *More About the Opportunity** - Expected commitment: 10+ hours/week - Asynchronous, fully remote work