Revenue and Supply Planning Expert for AI Evaluation
Up to $80/hr (depending on the project)
RemotePart-timebusiness
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Role Overview
Revenue, Demand & Supply Planning professionals apply their pricing, demand forecasting, inventory planning, and supply chain operations expertise to evaluate AI-generated outputs and produce expert training data. This contract role supports AI research by assessing the accuracy and relevance of model responses against real-world retail and consumer-facing planning workflows, and by providing targeted feedback to improve decision-making simulations.
Key Responsibilities- Use hands-on professional experience and the same planning tools you use day to day to create expert-level training data for AI models.
- Evaluate AI-generated responses for accuracy, relevance, and alignment with end-to-end retail planning workflows and business objectives.
- Provide clear, actionable feedback that helps models better represent pricing, demand forecasting, inventory and supply planning, and related decisions.
- Document examples, edge cases, and common failure modes encountered during evaluation.
- Work independently and asynchronously with AI research teams to meet project goals and deliverables.
- Minimum of 5 years of professional experience in Revenue, Demand or Supply Planning within retail or other consumer-facing industries.
- Relevant roles include Demand Planner, Supply Chain Manager, Pricing Analyst, or similar planning and analytics positions, 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.
- Experience with pricing, promotions, or margin optimization is preferred.
- Experience with freight, logistics, or cost management tasks, for example invoice auditing, is a plus.
- Strong written communication, attention to detail, and the ability to work independently and asynchronously with research teams.
- No prior AI or machine learning experience required.
- Engagement type: part-time, hourly contract work.
- Location: fully remote.
- Schedule: flexible, asynchronous hours with no minimum hour requirement.
- Typical commitment when active on a project is approximately 5 to 20 hours per week.
- Project placement depends on current project needs; contributors may be considered for additional projects as they become available.
- This project-based role can be performed alongside research, teaching, postdoctoral work, or industry employment.
Up to $80/hr (depending on the project), paid on an hourly contract basis.
Eligibility- F-1 students who are eligible for CPT or OPT may be eligible to participate. Work with your Designated School Official to confirm whether this engagement meets your school s CPT or OPT requirements.
- If your school requires enrollment in a CPT course, this program may not satisfy that requirement.
- STEM OPT is not supported for this program.
- Refer to your school s DSO or the program help resources for full details on acceptable work authorizations.
- Create an account with the program and complete the required profile information.
- Complete identity verification as requested.
- Join and onboard into relevant projects where your background matches project needs.
- Begin assigned evaluation work and receive payment according to project terms.