Store Manager AI Evaluator

Use your store management experience to help improve AI responses about retail operations. You will work independently and asynchronously on project tasks.

• Evaluate AI-generated responses for accuracy, relevance, and fit with real store management practices.
• Create training examples based on store operations and the tools used in daily work.
• Use your judgment on store performance reporting, cash reconciliation, inventory reconciliation, and related workflows.
• Write clear feedback that explains when retail guidance is practical, incomplete, or inaccurate.

What it pays and takes

• Pay: Up to $80 per hour.
• Hours: Flexible, with no minimum. Most contributors work about 5 to 20 hours per week during active projects.
• Location: Remote; open to candidates in the United States.
• Experience: At least two years in retail store management or an equivalent retail operations role, such as Store Manager or District Manager.
• Skills: Hands-on familiarity with store performance reporting and cash and inventory reconciliation; strong written communication and attention to detail.

How to apply

Apply on OpenTrain with your resume, then complete the application on the hiring site.

About AI training work

AI training is work people do to help AI learn from examples and give better answers. Experienced store managers can contribute practical knowledge that helps make those examples accurate and useful.