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Supply Chain and Manufacturing Expert for AI Training
- New York, New York, United States
- New York, New York, United States
About
Be at the forefront of the AI revolution by joining a cutting-edge GenAI team where your expertise will play a crucial role in developing advanced Large Language Models. This position offers the opportunity to contribute to foundational AI models while working with a leading AI lab.
Key Responsibilities- Guide research teams to close knowledge gaps and enhance AI model performance in Supply Chain, Procurement, Manufacturing, and Logistics.
- Create and maintain precise annotation standards specific to Supply Chain and Manufacturing topics, setting the gold standard for quality and rigor.
- Design challenging, domain-relevant tasks across multiple specializations and write accurate, well-structured solutions to Supply Chain and Manufacturing problems.
- Evaluate supply chain tasks and solutions, providing clear, written feedback.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
- 8+ years of professional experience in Supply Chain, Procurement, Manufacturing Operations, or Logistics at recognized top-tier organizations (e.g., Amazon, Apple, P&G, Boeing, Tesla, Caterpillar, Unilever, 3M, GE, Walmart, Deere & Co., Pfizer, or similar global enterprises).
- Demonstrable history of progressive career growth (e.g., from Supply Chain Analyst to Supply Chain Manager to Director of Operations or equivalent).
- Deep, specific focus in core supply chain or manufacturing functions.
- Availability to engage reliably for at least 20 hours per week during weekdays.
- Strong verbal and written communication skills, problem-solving abilities, and interpersonal skills.
This is a W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI Lab as part of their extended workforce.
CompensationHourly compensation ranges from $80 to $110.
EligibilityCincinnatus LLC is an Equal Employment Opportunity employer and does not discriminate based on any legally protected characteristic.
Languages
- English
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