Operations Expert with Python for AI Supply Chain Task Design

OverviewA fast-growing AI data company is hiring supply chain practitioners to design expert-level Terminal-Bench tasks for evaluating AI agents. You will turn real planning work into end-to-end challenges, each with files, a working solution and an automated correctness check. The goal is to build a benchmark grounded in real operations work.***THIS IS A TASK BASED COMPENSATION MODEL.

PLEASE CHECK THE APPLICATION QUESTIONS FOR MORE DETAILS.***Responsibilities• Design expert-level Terminal-Bench tasks by turning a real supply chain task from your work into a challenge an AI agent solves end to end.• Define the files, data exports and systems each task runs on, such as ERP, MES and WMS extracts, so the scenario reflects realistic planning conditions.• Write a working solution for each task, for example a 5-day production plan, and confirm it can be solved in 60 to 75 minutes.• Build the automated check that proves the result is correct, using tests or scripts that accept valid answers and catch planning errors objectively.• Document the written rules, constraints and SOPs that decide each case, along with realistic edge cases, data inconsistencies and common planner errors from your process.• Iterate on tasks based on reviewer feedback, keeping instructions unambiguous, data consistent and the solution and verification reproducible in a command-line [link] 3+ years of hands-on supply chain or production planning work (not only studying, se