Inventory Control Manager for AI Model Training

Inventory control professionals can apply their warehouse operations expertise to create and evaluate AI training materials grounded in real inventory management workflows.

Key Responsibilities

• Create expert-level training questions and scenarios based on warehouse and inventory management practices.
• Review AI-generated responses for accuracy and relevance to real-world inventory control and warehouse operations.
• Provide structured written feedback to improve AI model performance.

Qualifications

• 5+ years of professional experience in warehouse or inventory management, including roles 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 inventory reconciliation, demand forecasting, and in-season reforecast workflows.
• Familiarity with Manhattan Associates, Blue Yonder, Swisslog, HighJump, or similar warehouse management and inventory systems.
• Strong written communication, attention to detail, and the ability to work independently in a remote, asynchronous environment.

Work Terms

• Remote, part-time, project-based work.
• Complete tasks at your own pace, with no set schedule or minimum hourly requirement.

Compensation

• Up to $80/hr (depending on the project).

Eligibility

• F-1 students eligible for CPT or OPT may be eligible for projects. Consult your Designated School Official to confirm eligibility.
• If your school requires a CPT course, these projects may not meet that requirement. STEM OPT is not supported.

Application Process

• Create an account and complete identity verification.
• Complete onboarding for relevant projects, then begin working and earning when matched to a project.