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Consumer Goods Specialist - AI Trainer

Roles & Responsibilities

  • 3+ years of full-time experience at a Fortune 500 or comparable large enterprise.
  • Background in plant operations, production management, or operations engineering.
  • Experience in quality assurance, regulatory compliance (FDA/USDA), or EHS.
  • Strong analytical thinking and writing skills.

Requirements:

  • Build a realistic digital workspace centered on the Drive folders.
  • Design multi-step tasks grounded in your real workflows.
  • Collaborate with other manufacturing and CPG experts to design the environment.
  • Work asynchronously with research teams to refine task designs and evaluation criteria.

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Manufacturing - Consumer Goods Expert
Type: Contract
Compensation: $1,150–$1,450 per completed task
Location: Remote

Role Responsibilities

  • Build a realistic digital workspace centered on the Drive folders you use day-to-day. Include production reports, brand P&L models, S&OP decks, supplier scorecards, BOMs, SOPs, and email threads. Represent enterprise apps like SAP S/4HANA, Siemens Opcenter, and Power BI.
  • Design multi-step tasks grounded in your real workflows. Require navigating multiple apps, files, and stakeholders to meaningfully challenge frontier AI agents.
  • Collaborate with other manufacturing and CPG experts to design the environment. Shape task scope and review 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. Your work directly informs how leading labs train and evaluate the next generation of AI systems.

Qualifications

Must-Have

  • 3+ years of full-time experience at a Fortune 500 or comparable large enterprise.
  • Background in plant operations, production management, or operations engineering.
  • Experience in quality assurance, regulatory compliance (FDA/USDA), or EHS.
  • Supply chain planning, S&OP, or procurement/sourcing experience.
  • R&D, product development, or packaging engineering background.
  • Brand or category management with P&L ownership.
  • Day-to-day use of enterprise tools like SAP S/4HANA, Microsoft Dynamics 365, Siemens Opcenter, Rockwell FactoryTalk, Tableau, or Power BI.
  • Strong analytical thinking and writing skills.

Preferred

  • Certifications: PMP, Six Sigma Black/Green Belt, CPIM, CSCP.

Compensation & Legal

  • Task Completion Pay: Competitive and based on task quality.
  • Performance Bonus: Top performers receive a weekly bonus incentive.
  • Hourly Opportunity: Top performers may transition to an hourly compensation model based on sustained quality and throughput.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.



#hiringmercor

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