Handshake AI
Handshake AIVerified listing

Retail Store Operations Manager

80/hr
Remote
Part-Time
Posted April 29, 2026
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Listing checked October 19, 2026 · pay as published by Handshake AI

Key details

Pay
$80/hr
Location
RemoteUnited States
Job type
Part-Time
Posted
April 29, 2026

Overview

Handshake AI contracts retail store management professionals to improve how AI systems handle store operations questions. You will review model outputs against your own experience with store performance reporting, cash reconciliation, and inventory management, then explain where answers miss real-world practice. The project runs on a flexible, async schedule with no minimum hours, and most contributors log 5 to 20 hours a week while a project is active. You do not need prior AI experience. Your everyday tools and workflows become the reference point for training data that teaches models how retail operations run.

What You'll Do7

  • Score AI-written answers about store operations for factual accuracy and relevance to real retail settings.
  • Write reference responses that show how a store manager or district manager would handle common operational problems.
  • Compare AI suggestions against your own experience with cash and inventory reconciliation.
  • Flag gaps, unsafe advice, or unrealistic steps in model outputs.
  • Document the tools and workflows you use at work so AI teams can map retail processes.
  • Review model revisions and give targeted feedback until answers match professional standards.
  • Work on your own schedule with AI researchers and project leads through written updates.

Requirements7

  • Five or more years in retail store management, including titles like Store Manager, District Manager, or Retail Operations Manager.
  • Direct experience with store performance reporting and the metrics that shape store decisions.
  • Hands-on work with cash handling and inventory reconciliation.
  • Clear written English that explains operational concepts to people outside retail.
  • Comfort working on your own schedule and communicating through written updates.
  • Sharp eye for detail when judging whether an answer reflects real store practice.
  • No previous AI or machine learning experience required.

Who Should Apply

The best fit is a retail operations veteran with five or more years managing stores, districts, or retail operations teams. You know store performance reporting, cash handling, and inventory reconciliation from regular use, and you can explain those processes in clear written English. Candidates who treat this as a quick side task without reading model outputs with care tend to score low, as do applicants who list retail jobs but cannot describe specific operational workflows. The role is less suitable for someone who needs a fixed full-time schedule, regular meetings, or hands-on store leadership. If your experience comes only from corporate retail strategy without direct store management, your fit will be weaker.

Salary Insight

The listed pay is $80.00 per hour, a rate that reflects the senior retail management experience this project requires. For project-based AI training work in specialized domains, $80 per hour sits at the higher end and often matches contributors with deep operational backgrounds rather than entry-level retail staff. Hours vary by project, so total earnings depend on how many active projects you join.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$80/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,264 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$95 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

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Required skills

Retail Store ManagementRetail OperationsStore OperationsStore ManagementDistrict ManagementStore Performance ReportingInventory ManagementInventory ReconciliationCash ReconciliationPos SystemsErpRetail AnalyticsAI Model EvaluationData AnnotationTraining Data CreationContent EvaluationQuality Review

How applying works

  1. 1. Pre-screen on NearSkill

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  2. 2. Finish on the employer’s site

    We hand you to Handshake AI’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

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