This is not a traditional job — you'll draw on your hands-on expertise in inventory management, warehouse operations, and materials handling to evaluate AI-generated content and provide feedback that helps AI better understand real-world warehouse and inventory workflows.

This is an ongoing, project-based opportunity you can take on alongside your current work.

• Use your domain expertise to create expert-level training questions and scenarios based on real warehouse and inventory management workflows.
• Review and evaluate AI-generated responses for accuracy and relevance to real-world inventory control and warehouse operations practices.
• Provide structured written feedback to help improve AI model performance.

• 5+ years of professional experience in warehouse or inventory management, in a role such as Inventory Control Manager, Inventory Control Analyst, Warehouse Operations Manager, WMS Analyst, Distribution Center Supervisor, Materials Management Analyst, or Automation Engineer.
• Hands-on experience with workflows such as inventory reconciliation, demand forecasting, and in-season reforecast.
• Familiarity with Manhattan Associates, Blue Yonder, Swisslog, HighJump, or similar warehouse management and inventory systems.
• Strong written communication skills, attention to detail, and the ability to work independently in a remote, asynchronous environment.

Work arrangement: Fully remote

• F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility.  If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

• Depending on the project.