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Retail Operations Manager

Handshake AI

You'll draw on your hands-on experience with store performance management, inventory control, and warehouse operations to evaluate AI-generated content and provide feedback that helps AI better understand…

Work arrangement & location
Remote

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Degree filters: Postdocs, Ph.Ds, Master's, Bachelor's, Associate's
Hours
5–20 hours per week

Employer description and requirements

Overview

Handshake is looking for retail operations professionals to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with store performance management, inventory control, and warehouse operations to evaluate AI-generated content and provide feedback that helps AI better understand retail operations workflows and practices.

This is an ongoing, project-based opportunity that can be done alongside research, teaching, postdoctoral work, or industry employment.

Details

  • This project involves using your professional experience and hands-on knowledge of the tools you use in your daily work to create expert-level training data and evaluate AI-generated responses for accuracy and relevance. No prior AI experience required.
  • Fully remote with a flexible, asynchronous schedule and no minimum hour requirement; most contributors work approximately 5–20 hours per week when participating in an active project.
  • Placement depends on current project needs, with opportunities to be considered for future projects as they become available.

Qualifications

  • At least 2 years of professional experience in retail operations management, in roles such as:
    • Retail Operations Manager or Director
    • Or equivalent roles in the retail industry
  • Hands-on experience with retail operations workflows, including:
    • Store performance monitoring and reporting
    • Cash and inventory reconciliation
    • Warehouse receiving operations
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.