Revenue, Demand and Supply Planning Expert - Remote
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires professionals with revenue, demand, and supply planning backgrounds to build expert training data and review AI responses. Work centers on pricing, demand forecasting, inventory planning, and supply chain decisions across retail. The project runs on a remote, self-scheduled basis, so contributors choose their hours. Most people join for about 5 to 20 hours per week during an active project. You do not need prior AI experience, and the setup fits alongside research, teaching, postdoctoral work, or a current industry job.
What You'll Do8
- 1Evaluate AI-generated responses on retail planning tasks and identify factual gaps in demand, inventory, or pricing.
- 2Build expert-level training data from your own workflows, including forecast models, reforecasting cycles, and supply plans.
- 3Test model output against real planning practices, such as promotion planning or margin decisions.
- 4Write clear feedback that explains why a response misses domain standards.
- 5Add context from freight, logistics, or invoice auditing when those areas shape a planning decision.
- 6Partner with AI research teams through written evaluations and async updates.
- 7Mark where a model confuses demand planning with supply planning or pricing execution.
- 8Flag weak assumptions in inventory and cost management scenarios.
Requirements10
- 1Five or more years in revenue, demand, and supply planning, with a focus on retail or consumer-facing companies.
- 2Background as a demand planner, supply chain manager, pricing analyst, or a similar planning and analytics role.
- 3Or comparable work supporting end-to-end planning across demand, inventory, and pricing.
- 4Direct use of demand forecasting and in-season reforecasting in a professional setting.
- 5Hands-on work with inventory planning and supply planning processes.
- 6Experience in pricing, promotions, or margin optimization (preferred).
- 7Exposure to freight, logistics, or cost management, such as invoice auditing.
- 8Strong writing skills and close attention to detail.
- 9Ability to manage tasks on your own and coordinate with remote AI research teams.
- 10You do not need prior AI experience.
Who Should Apply
The right candidate brings at least five years in retail or consumer-facing revenue, demand, and supply planning, with hands-on work in forecasting, inventory, and pricing. A demand planner, supply chain manager, or pricing analyst who has owned end-to-end planning decisions will fit this project. People who treat writing as a core part of the work tend to score well, because the role asks for clear evaluations and detailed feedback. This project suits someone who wants part-time, self-scheduled work alongside another role. Candidates often lose fit when they list general supply chain experience without naming specific workflows, or when they apply with fewer than five years in planning. A weak writing sample or vague descriptions of forecasting and inventory work also hurt.
Salary Insight
The listing states $80.00 per hour. That rate sits at a senior contributor level for part-time AI training work, where pay tracks domain depth and years of planning experience. Weekly earnings vary because you set your own hours, and the project has no minimum hour requirement.
Pay and demand for Financial Analysis & Planning roles
AggregatedTypical pay
$80/hour
This role
$80/hr
Most Financial Analysis & Planning roles pay $60–$101 per hour. This role's pay falls inside that range.
Based on 124 similar roles that publish pay · 7 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
- financial analysis15%
- financial modeling15%
- excel13%
- accounting11%
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Compensation
$80/hr
Required Skills
Application Tip
Lead your resume and profile with the exact planning workflows from the listing: demand forecasting, in-season reforecasting, inventory and supply planning, pricing, and margin optimization. Add numbers where you can, such as forecast accuracy gains, inventory reductions, or margin improvements. Name the tools you used each day and the retail or consumer categories you covered. This helps reviewers match you to active projects and raises your fit score.
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