Operations Expert with Python for AI Supply Chain Task Design

<p> <strong>Headquarters:</strong> </p> <p>Overview</p><p>A 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.</p><p>***THIS IS A TASK BASED COMPENSATION MODEL. PLEASE CHECK THE APPLICATION QUESTIONS FOR MORE DETAILS.***</p><p>Responsibilities</p><p>• 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.</p><p>• 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.</p><p>• 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.</p><p>• Build the automated check that proves the result is correct, using tests or scripts that accept valid answers and catch planning errors objectively.</p><p>• 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.</p><p>• Iterate on tasks based on reviewer feedback, keeping instructions unambiguous, data consistent and the solution and verification reproducible in a command-line environment.</p><p>Skills/Experience</p><p>• 3+ years of hands-on supply chain or production planning work (not only studying, selling or managing it), or a PhD with active research in the subfield</p><p>• Did the work within the last 3 years and can name the systems, tools, data and rules used</p><p>• Personally executed a process where each case is decided by written rules such as SOPs, planning rules or constraints</p><p>• Worked inside systems of record (ERP, WMS) and with their exports or reports</p><p>• Can describe edge cases, data inconsistencies and common planner errors, and how a mistake would be caught</p><p>• Technical fluency in Python or another language and the command line, plus files, CSV/JSON, APIs or databases</p><p>• Available to start around November 4, 2026</p><p>Nice-to-have</p><p>• Automated or audited the process with scripts, SQL, RPA or rules engines</p><p>• 5+ years in the same process family</p><p>• Docker, Git and experience writing tests</p><p>• Hands-on experience with SAP or other ERPs and TMS/WMS platforms</p><p>• Advanced Excel skills</p><p>Process</p><p>• Task-based engagement paid per task, with each task taking about 60 to 75 minutes</p><p>• Vetting task instead of a live interview</p><p>• Tasks are reviewed by the client before approval</p> <p><strong>To apply:</strong> <a href="https://weworkremotely.com/remote-jobs/toptal-operations-expert-with-python-for-ai-supply-chain-task-design">https://weworkremotely.com/remote-jobs/toptal-operations-expert-with-python-for-ai-supply-chain-task-design</a></p>