Jobs / United States / Toptal

Toptal

Operations Expert with Python for AI Supply Chain Task Design

Remote (Anywhere in the World) · Remote · Anywhere Posted today

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Skills this job asks for

PythonSupply chainSQLDockerGitSAPExcel

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Where you can work from

Worldwide, per the listing

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Sponsorship verdict

No sponsorship evidence yet

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  • No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

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Before you apply

Sponsorship unknown

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About the role

Headquarters: Overview 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. ***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 environment. Skills/Experience • 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 • Did the work within the last 3 years and can name the systems, tools, data and rules used • Personally executed a process where each case is decided by written rules such as SOPs, planning rules or constraints • Worked inside systems of record (ERP, WMS) and with their exports or reports • Can describe edge cases, data inconsistencies and common planner errors, and how a mistake would be caught • Technical fluency in Python or another language and the command line, plus files, CSV/JSON, APIs or databases • Available to start around November 4, 2026 Nice-to-have • Automated or audited the process with scripts, SQL, RPA or rules engines • 5+ years in the same process family • Docker, Git and experience writing tests • Hands-on experience with SAP or other ERPs and TMS/WMS platforms • Advanced Excel skills Process • Task-based engagement paid per task, with each task taking about 60 to 75 minutes • Vetting task instead of a live interview • Tasks are reviewed by the client before approval To apply: https://weworkremotely.com/remote-jobs/toptal-operations-expert-with-python-for-ai-supply-chain-task-design

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