Remote opportunity at
ToptalOperations Expert with Python for AI Supply Chain Task Design
Toptal is hiring for a remote, full-time position as an Operations Expert with Python for AI Supply Chain Task Design. A fast-growing artificial intelligence data company…
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About This Role
Toptal is hiring for a remote, full-time position as an Operations Expert with Python for AI Supply Chain Task Design. A fast-growing artificial intelligence data company is seeking supply chain professionals to create expert-level Terminal-Bench tasks used to evaluate AI agents. Professionals in this role will transform actual planning work into comprehensive challenges complete with files, a functional solution, and an automated correctness verification. This opportunity is designed for individuals…
Job Description
Toptal is hiring for a remote, full-time position as an Operations Expert with Python for AI Supply Chain Task Design. A fast-growing artificial intelligence data company is seeking supply chain professionals to create expert-level Terminal-Bench tasks used to evaluate AI agents. Professionals in this role will transform actual planning work into comprehensive challenges complete with files, a functional solution, and an automated correctness verification.
This opportunity is designed for individuals with practical experience in supply chain operations who want to contribute to artificial intelligence benchmarking. The compensation model for this engagement is task-based, with payment provided per completed task. Candidates should note that the hiring organization expects availability to begin around November 4, 2026.
Responsibilities
- Design expert-level Terminal-Bench tasks by converting real supply chain duties into end-to-end AI agent challenges
- Specify files, data exports, and systems like ERP, MES, and WMS extracts to simulate realistic planning conditions
- Produce a working solution for each task that can be solved within 60 to 75 minutes
- Create automated checks using scripts or tests to objectively verify results and catch planning errors
- Document SOPs, written rules, constraints, realistic edge cases, data inconsistencies, and common planner errors
- Refine tasks based on reviewer feedback to maintain clear instructions, consistent data, and reproducible verification in a command-line environment
Requirements
- At least 3 years of hands-on experience in supply chain or production planning, or a PhD with active research in the subfield
- Performed the practical work within the last 3 years and can identify the utilized systems, tools, data, and rules
- Directly executed processes where individual cases are determined by written rules, SOPs, planning rules, or constraints
- Worked within systems of record such as ERP and WMS, as well as their reports or exports
- Ability to explain edge cases, data inconsistencies, common planner errors, and error detection methods
- Technical proficiency in Python or another programming language, command-line usage, files, CSV or JSON, APIs, or databases
- Availability to begin around November 4, 2026
Qualifications
- Automated or audited processes using scripts, SQL, RPA, or rules engines
- 5 or more years of experience in the same process family
- Familiarity with Docker, Git, and writing tests
- Practical experience with SAP or alternative ERP systems, as well as TMS or WMS platforms
- Advanced Microsoft Excel skills
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source lists the remote status as remote.
What is the compensation model for this role?
The role utilizes a task-based compensation model where payment is made per task.
What salary does the position offer?
The posting does not specify a salary.
When should the candidate be available to start?
Candidates should be available to start around November 4, 2026.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.