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Revenue, Demand & Supply Planning Professional

Handshake AI

You’ll draw on your expertise across pricing, demand forecasting, inventory planning, and supply chain 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 seeking professionals with experience in Revenue, Demand & Supply Planning to support AI research through flexible, hourly contract work. This is not a traditional job. You’ll draw on your expertise across pricing, demand forecasting, inventory planning, and supply chain operations to evaluate AI-generated content and provide feedback that helps AI better understand end-to-end retail planning workflows and decision-making.

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 5 years of professional experience in Revenue, Demand & Supply Planning within retail or consumer-facing industries, in roles such as:
    • Demand Planner, Supply Chain Manager, Pricing Analyst, or similar planning/analytics roles
    • Or equivalent experience supporting end-to-end planning across demand, inventory, and pricing
  • Hands-on experience with core planning workflows, including:
    • Demand forecasting and in-season reforecasting
    • Inventory and supply planning processes
    • Pricing, promotions, or margin optimization (preferred)
    • Freight, logistics, or cost management (e.g., invoice auditing)
  • Strong written communication skills, attention to detail, and the ability to work independently and asynchronously with AI research teams.