Provide supply chain, procurement, manufacturing, and logistics domain expertise to improve generative AI training data: create annotation standards, design real-world tasks, evaluate outputs, and collaborate with research teams to close knowledge gaps and improve model performance.
This role is for one of our clients
Compensation: $80-$110 per hour
Join a leading AI lab’s cutting-edge Generative AI team and contribute to the development of next-generation large language models. We are seeking experienced professionals in Supply Chain, Procurement, Manufacturing, and Logistics to bring deep domain expertise and enhance the quality of AI training data.
In this role, you will apply real-world operational knowledge to help AI systems better understand and solve complex supply chain and manufacturing challenges.
Requirements
What You’ll Do
- Partner with research teams to identify and close knowledge gaps across supply chain, procurement, manufacturing, and logistics domains
- Create and maintain high-quality annotation standards aligned with industry practices and operational frameworks
- Design complex, real-world tasks and develop accurate, structured solutions
- Evaluate domain-specific tasks and outputs, providing clear and actionable feedback
- Contribute to improving AI model performance through subject matter expertise
- Collaborate with other experts to ensure consistency, rigor, and quality across training data
Who You Are
- 8+ years of professional experience in supply chain, procurement, manufacturing operations, or logistics
- Experience working with recognized global enterprises or high-growth organizations
- Demonstrated career progression (e.g., Analyst → Manager → Director or equivalent leadership track)
- Deep expertise in core areas such as supply planning, sourcing, production, distribution, or operations strategy
- Strong analytical, problem-solving, and decision-making skills
- Excellent written and verbal communication abilities
Engagement Details
- W-2 employment structure with placement at a leading AI lab as part of an extended workforce
- Minimum commitment of 20 hours per week during weekdays
- Opportunity to work on high-impact AI initiatives in a collaborative environment
Why This Role
- Be at the forefront of AI innovation applied to real-world operations
- Leverage your industry expertise to shape how AI understands supply chain and manufacturing systems
- Collaborate with top-tier professionals across technology and research domains
Additional Information
- Responsibilities and scope may evolve based on project requirements and performance
- This role involves contributing to structured AI training and evaluation workflows
Equal Opportunity Statement
All qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.
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