Warehouse Associate - AI trainer
Required Skills
Inventory & Stock Management, Shipping & Receiving, Equipment Operation, Warehouse Space & Safety Management
Job Description
Job Title: Warehouse associate - AI trainer
Job Type: Full-time
Location: Remote
Job Summary:
Join our customer's team as a Warehouse Associate - AI Trainer and play a pivotal role in bridging hands-on warehouse expertise with next-generation artificial intelligence systems. In this unique, fully remote position, you will leverage your operational knowledge to train and improve AI models that support inventory management, shipping, receiving, and warehouse safety.
Key Responsibilities:
- Collaborate with AI development teams to provide detailed insights on inventory and stock management workflows.
- Analyze and annotate real-world warehouse scenarios to train AI models for accuracy and efficiency in logistics tasks.
- Document shipping and receiving processes, identifying opportunities for AI-driven improvements.
- Simulate and review equipment operation tasks to inform AI system development and testing.
- Contribute to the design of virtual warehouse layouts to optimize space utilization and safety, guided by your practical experience.
- Deliver clear and actionable written and verbal feedback to enhance AI understanding of warehouse best practices.
- Maintain strong, ongoing communication with the customer’s team to ensure AI solutions align with real-world operations.
Required Skills and Qualifications:
- Proven experience in warehouse operations, including inventory and stock management, shipping, and receiving.
- Hands-on expertise with common warehouse equipment and safety protocols.
- Demonstrated ability to document and communicate complex processes in both written and verbal formats.
- Strong critical thinking and problem-solving skills with a keen attention to detail.
- Comfort with remote collaboration tools and self-motivated work style.
- Ability to translate hands-on knowledge into structured, data-driven feedback for AI training purposes.
- Passion for leveraging technology to drive operational excellence.
Preferred Qualifications:
- Previous experience collaborating with AI or technology teams in a warehouse or logistics setting.
- Familiarity with AI training concepts, data annotation, or process analysis.
- Background in warehouse space optimization or safety management projects.