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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.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
