Manufacturing - Consumer Goods Expert

Role Overview\n\nMercor 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.\n\nYou'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.\n\nKey Responsibilities\n\n- 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)\n \n- 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\n \n- 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\n \n- Work asynchronously with research teams to refine task designs and evaluation criteria for manufacturing-domain agent benchmarks\n \n- 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\n \n\nIdeal Qualifications\n\n- 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)\n \n- Background in one or more areas such as:\n \n - Plant operations, production management, or operations engineering\n \n - Quality assurance, regulatory compliance (FDA/USDA), or EHS\n \n - Supply chain planning, S&OP, or procurement/sourcing\n \n - R&D, product development, or packaging engineering\n \n - Brand or category management with P&L ownership\n \n- Day-to-day use of enterprise tools like SAP S/4HANA or Microsoft Dynamics 365, Siemens Opcenter or Rockwell FactoryTalk, and Tableau / Power BI\n \n- Certifications a plus: PMP, Six Sigma Black/Green Belt, CPIM, CSCP\n \n- Strong analytical thinking and writing — able to translate enterprise workflows into structured task specs\n \n\nCompensation Note\n\n- Task Completion Pay: Competitive and based on task quality (~$1,150 – $1,450 per completed task, subject to change as the project evolves)\n \n- Performance Bonus: Top performers receive a weekly bonus incentive on top of their per task rate!\n \n- Hourly Opportunity: Top performers may be invited to transition to an hourly compensation model based on sustained quality and throughput.

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.