This is not a traditional job — you'll draw on your hands-on expertise in store operations, performance reporting, and inventory management to evaluate AI-generated content and provide feedback that helps AI better understand real-world retail store management workflows.
This is an ongoing, project-based opportunity you can take on alongside your current work.
Complete tasks at your own pace with no set schedule or minimum hour requirement.
Responsibilities
Use your domain expertise to create expert-level training questions and scenarios based on real retail store management workflows.
Review and evaluate AI-generated responses for accuracy and relevance to real-world store operations and management practices.
Provide structured written feedback to help improve AI model performance.
Experience and education
2+ years of professional experience in retail store management, in a role such as Store Manager or District Manager.
Hands-on experience with workflows such as store performance reporting, cash reconciliation, and inventory reconciliation.
Strong written communication skills and attention to detail.
Ability to work independently in a remote, asynchronous environment.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.