Remote Manufacturing - Consumer Goods Expert - AI Trainer ($45-$65 per hour)

Role Overview Mercor 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. We're seeking experienced manufacturing and consumer-goods professionals from Fortune 500 enterprises and comparable large organizations to recreate the digital workspaces they navigate every day and design the tasks that genuinely challenge state-of-the-art AI. You'll bring your expertise in large-scale production operations, brand-level product management, and cross-functional supply chain work to build a high-fidelity environment that mirrors the tools, files, and dependencies of real enterprise work "” and then author tasks grounded in workflows you actually run today. Key Responsibilities Build a realistic digital workspace centered on the Drive folders you use day-to-day "” the production reports, brand P&L models, S&OP decks, supplier scorecards, BOMs, SOPs, and email threads that reflect how you actually organize your work "” with some representation of the enterprise apps that support it (e.g., SAP S / 4HANA, Siemens Opcenter, 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 manufacturing and CPG 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 manufacturing-domain 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 Qualifications 3+ years of full-time experience at a Fortune 500 or comparable large enterprise (e.g., P&G, Unilever, PepsiCo, Nestlé, 3M, Kimberly-Clark, or a Tier-1 contract manufacturer). Background in one or more areas such as: Plant operations, production management, or operations engineering Quality assurance, regulatory compliance (FDA / USDA), or EHS Supply chain planning, S&OP, or procurement / sourcing R&D, product development, or packaging engineering Brand or category management with P&L ownership Day-to-day use of enterprise tools like SAP S / 4HANA or Microsoft Dynamics 365, Siemens Opcenter or Rockwell FactoryTalk, and Tableau / Power BI. Certifications a plus: PMP, Six Sigma Black / Green Belt, CPIM, CSCP. Strong analytical thinking and writing "” able to translate enterprise workflows into structured task specs. Compensation Note This 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. About Mercor Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. Backed by investors including Benchmark, General Catalyst, Adam D'Angelo, and Jack Dorsey. Thousands of professionals across domains contribute to projects shaping the next generation of AI systems. #J-18808-Ljbffr

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