You will evaluate AI-generated merchandising content and category management workflows. You will apply project rubrics, review source materials and model outputs, and provide clear feedback that helps improve AI systems.
The work focuses on careful, repeatable judgments. You will document evidence for your decisions and maintain consistent quality across review tasks while working independently with AI research teams.
- Evaluate AI-generated merchandising and retail content.
- Review source materials and model outputs against project guidelines.
- Apply project rubrics and document evidence-based judgments.
- Explain decisions clearly in written feedback.
- Maintain consistency across repeated evaluation tasks.
What it pays and takes
This is flexible, asynchronous contract work for candidates in the United States. The role requires relevant professional experience in merchandising, category management, buying, or an equivalent retail field.
- Pay: Up to $80 per hour.
- Schedule: 20+ hours per week, with flexible asynchronous work.
- Location: Open to candidates in the United States.
- Language: Fluent written English.
- Experience: At least two years in merchandising, category management, buying, or an equivalent retail role.
- Relevant expertise: Pricing strategy, including tariff and competitive pricing analysis; markdown optimization and hindsight analysis; and promotional campaign planning.
- Other requirements: Strong written communication, attention to detail, and the ability to work independently.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind many AI systems. People review model responses, evaluate content, and write clear feedback so models can learn to produce more useful results.
OpenTrain helps people find AI training and data-labeling work, build a profile, and apply to projects in one place. Subject-matter experts can use their professional judgment in this work without needing prior AI training experience.,