Inventory Control Manager AI Evaluator

You will help improve AI systems by applying practical knowledge of inventory control, warehouse operations, materials handling, and retail workflows. The work is project-based, remote, and asynchronous, so assignments can be completed alongside other professional or academic commitments.

• Create expert training questions and realistic scenarios based on warehouse and inventory management workflows.
• Review AI-generated responses for accuracy, relevance, and alignment with real inventory control and warehouse operations practices.
• Write structured feedback that helps improve AI model performance.
• Use professional judgment when reviewing inventory reconciliation, demand forecasting, and in-season reforecasting workflows.

Prior AI experience is not required. The role calls for practical inventory and warehouse knowledge, strong written communication, attention to detail, and the ability to work independently.

• Schedule: 20 or more hours per week, with flexible, asynchronous assignments.
• Language: fluent in English.
• Experience: professional experience in warehouse, retail inventory, or inventory control management.
• Knowledge of inventory reconciliation, demand forecasting, and in-season reforecasting.
• Familiarity with Manhattan Associates, Blue Yonder, Swisslog, HighJump, or a comparable warehouse management or inventory system.
• Relevant backgrounds include Inventory Control Manager, Inventory Control Analyst, Warehouse Operations Manager, WMS Analyst, Distribution Center Supervisor, Materials Management Analyst, or Automation Engineer.