The work
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.
What it pays and takes
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.
- Pay: up to $80 per hour.
- Schedule: 20 or more hours per week, with flexible, asynchronous assignments.
- Location: open to candidates in the United States.
- 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.