This role involves collaborating with leading AI labs on an initiative to create realistic enterprise environments for training and evaluating frontier AI agents. Experienced supply chain and logistics professionals from Fortune 500 retailers, manufacturers, 3PLs, and carriers are invited to leverage their expertise in demand/supply planning, transportation, warehousing, or sourcing to build a high-fidelity digital workspace that mirrors real-world operations.

• Construct a realistic digital workspace based on the Drive folders and tools you use regularly, including S&OP decks, network-design models, carrier RFPs, inventory reports, and performance dashboards.
• Design multi-step tasks that reflect your actual workflows, requiring navigation through various applications, files, and stakeholders to challenge frontier AI agents effectively.
• Collaborate with fellow supply chain and logistics experts to shape the environment, define task scope, and review scenarios for realism and rigor.
• Work asynchronously with research teams to refine task designs and establish evaluation criteria for supply-chain agent benchmarks.
• Contribute to cutting-edge AI research and benchmarking, directly influencing how leading labs train and evaluate the next generation of AI systems.

• 3+ years of full-time experience at a Fortune 500 retailer, manufacturer, 3PL, or large carrier.
• Experience in areas such as:
• Demand/supply planning and S&OP/IBP
• Transportation management, carrier sourcing, or network design
• Warehouse operations, DC management, or WMS/labor planning
• Procurement/sourcing/supplier management
• Global trade, customs, or international logistics
• Certifications such as APICS CPIM, CSCP, or CLTD are a plus.
• Proficient in using Manhattan Associates WMS, Blue Yonder, SAP S/4HANA, and Tableau/Power BI.
• Strong analytical thinking and writing skills, capable of translating supply chain workflows into structured task specifications.

• Task Completion Pay: Competitive, based on task quality (~$900, $1, 250 per completed task, subject to change as the project evolves).
• Performance Bonus: Top performers receive a weekly bonus incentive in addition to their per-task rate.
• Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.