As an expert in operations research, you will play a crucial role in crafting and verifying high-quality open-ended prompts for AI model evaluation. Your work will involve creating and reviewing complex optimization and decision-science problems, assessing AI reasoning quality, and helping to establish rigorous evaluation standards for advanced 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.

Linear & Integer Programming, Network Optimization & Graph Theory, Stochastic Models & Queuing Theory, Game Theory & Decision Analysis, Supply Chain & Logistics Optimization, Simulation & Metaheuristics.

• 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.

• 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.

Expected commitment: 10+ hours/week. This position offers asynchronous, fully remote work.