AI training & evaluation
Category Manager
Handshake AI
You'll draw on your hands-on experience with pricing strategy, markdown planning, and competitive analysis to evaluate AI-generated content and provide feedback that helps AI better understand retail category…
- 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 category management 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 pricing strategy, markdown planning, and competitive analysis to evaluate AI-generated content and provide feedback that helps AI better understand retail category 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 category management or buying, in roles such as:
- Category Manager
- Or equivalent roles in the retail industry
- Hands-on experience with category management workflows, including:
- Tariff pricing and competitive pricing analysis
- Markdown optimization and hindsight analysis
- Promotional campaign planning
- Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.