AI training & evaluation
Store Operation Manager
Handshake AI
You'll draw on your hands-on experience with store operations, performance reporting, and inventory management to evaluate AI-generated content and provide feedback that helps AI better understand retail…
- Work arrangement & location
- Remote
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- Engagement
- 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 store management and operation 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 operations, performance reporting, and inventory management to evaluate AI-generated content and provide feedback that helps AI better understand retail store management 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 store management, in roles such as:
- Store Manager or District Manager
- Retail Operations Manager
- Or equivalent roles in the retail industry
- Hands-on experience with store management workflows, including:
- Store performance reporting
- Cash and inventory reconciliation
- Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.