Handshake AI
Handshake AIVerified listing
Remote

Merchandise Planner - Remote Part-Time Contract

80/hr
Remote
Posted September 16, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI seeks seasoned retail merchandise planners for part-time contract work that improves AI models. You will apply hands-on knowledge of inventory planning, markdown optimization, and promotional strategy to judge AI-generated answers and craft expert training examples. The project runs on an ongoing basis, so you can fit it around a current planning role. No fixed schedule or minimum hours apply. You set your own pace and work from any location.

What You'll Do5

  • 1Create expert training questions and realistic scenarios based on retail merchandising workflows.
  • 2Review AI-generated responses for accuracy and relevance to real-world planning and merchandising practice.
  • 3Write structured feedback that helps AI models improve.
  • 4Use your planning expertise to spot gaps, errors, or weak reasoning in model answers.
  • 5Complete tasks at your own pace with no set schedule or minimum hour requirement.

Requirements4

  • 1At least 2 years of professional experience in retail merchandising or merchandise planning, in a role such as Merchandise Planner or Senior Merchandise Planner.
  • 2Hands-on work with demand forecasting, in-season reforecast, markdown optimization, and promotional campaign planning.
  • 3Strong written communication skills and close attention to detail.
  • 4Ability to work on your own in a remote, asynchronous setting.

Who Should Apply

The ideal candidate has at least two years as a merchandise planner or senior merchandise planner and can point to direct work in demand forecasting, in-season reforecast, markdown optimization, and promotional campaigns. Retail planners who write with precision and catch small inconsistencies in AI-generated answers will fit this project. The role is less suitable for people without professional merchandising experience, even if they have strong general writing skills. Candidates often score low when they describe planning duties in broad terms instead of naming the exact workflows they own. Another common rejection reason is vague feedback that does not tie a model response to a specific merchandising rule or metric.

Salary Insight

The listing sets pay at $80.00 per hour. Because this is part-time project work, your total earnings depend on how many tasks you complete, and the source does not state an hour cap. The rate reflects the specialized retail planning knowledge required.

Pay and demand for Retail & E-Commerce roles

Aggregated

Typical pay

$80/hour

This role

$80/hr

Most Retail & E-Commerce roles pay $70–$80 per hour. This role's pay falls inside that range.

Based on 13 similar roles that publish pay

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
22
Listed in last 30 days
14
Remote
59%

Hiring most right now: Handshake AI (7) · ZeroHarm Sciences (5) · Aretto (4)

Most requested skills · share of roles

  • ai evaluation
    18%
  • store operations
    18%
  • inventory management
    18%
  • written feedback
    14%

Figures from Retail & E-Commerce roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

$80/hr

Required Skills

retail merchandisingmerchandise planninginventory planningdemand forecastingin-season reforecastmarkdown optimizationpromotional strategypromotional campaign planningai model evaluationai training datawritten feedbackscenario design

Application Tip

In your application, name the exact planning workflows you own, such as demand forecasting, in-season reforecast, markdown optimization, or promotional campaign planning. Add a short sample of written feedback that points to a specific merchandising metric or rule. This helps reviewers see domain depth and written precision, the two things this project screens for.

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  2. 2Screened before the employer sees it

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