Overview

Key Responsibilities

• A fast-growing AI data company is hiring supply chain practitioners to design expert-level Terminal-Bench tasks for evaluating AI agents
• THIS IS A TASK BASED COMPENSATION MODEL. PLEASE CHECK THE APPLICATION QUESTIONS FOR MORE DETAILS.*
• • 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.
• • Iterate on tasks based on reviewer feedback، keeping instructions unambiguous، data consistent and the solution and verification reproducible in a command-line environment.
• • Tasks are reviewed by the client before approval
• *EXELLENT** and tag RMTM1LjE4MS4xODMuMTcy when applying to show you read the job post completely (#RMTM1LjE4MS4xODMuMTcy)

Requirements & Qualifications

• Skills/Experience
• • Advanced Excel skills

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.

• 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 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.

• 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

Process

• Task-based engagement paid per task، with each task taking about 60 to 75 minutes

• Vetting task instead of a live interview

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