Remote Manufacturing - Supply Chain & Logistics Expert - AI Trainer ($45-$65 per hour)

Role OverviewMercor is partnering with leading AI labs on Project Atlas — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.Key ResponsibilitiesBuild a realistic digital workspace centered on the Drive folders you use day-to-day — the S&OP decks, network-design models, carrier RFPs, inventory reports, DC performance dashboards, sourcing strategies, and email threads that reflect how you actually organize your work — with some representation of the platforms that support it (e.g., Manhattan Associates WMS or Blue Yonder, SAP S/4HANA, Power BI).Design multi-step tasks grounded in your real workflows that require navigating multiple apps, files, and stakeholders in a way that meaningfully challenges frontier AI agents.Collaborate with other supply-chain and logistics experts in your field to design the environment, shape task scope, and review each other's scenarios for realism and rigor.Work asynchronously with research teams to refine task designs and evaluation criteria for supply-chain agent benchmarks.Contribute to frontier AI research and benchmarking — the work you produce directly informs how leading labs train and evaluate the next generation of AI systems.Ideal Qualifications3+ years of full-time experience at a Fortune 500 retailer, manufacturer, 3PL, or large carrier.Background in one or more areas such as:Demand / supply planning and S&OP / IBPTransportation management, carrier sourcing, or network designWarehouse operations, DC management, or WMS / labor planningProcurement / sourcing / supplier managementGlobal trade, customs, or international logisticsCertifications a plus: APICS CPIM / CSCP / CLTDDay-to-day use of Manhattan Associates WMS / Blue Yonder, SAP S/4HANA, and Tableau / Power BI.Strong analytical thinking and writing — able to translate supply-chain workflows into structured task specs.CompensationThis project is expected to begin on an effective hourly rate, but will transition to a model where experts are compensated based on throughput of quality work rather than a flat accruing hourly rate.J-18808-Ljbffr