Merchandising and Category Managers Specialist

You will help create and evaluate tasks used to train and assess AI models. The work centers on practical retail planning judgment, commercial modeling, retail mathematics, allocation logic, and consistent expert review.

You will produce realistic scenarios and gold-standard solutions, then score submitted work against structured rubrics. You will also review work with peers, use calibration feedback, and resolve edge cases involving retail math and allocation.

• Design exercises covering assortment planning, promotional strategy, product allocation, planograms, and retail commercial modeling.
• Create solution sets that show sound merchandising methods.
• Apply evaluation rubrics consistently to retail planning submissions.
• Build and assess scenarios using sell-through, GMROI, open-to-buy, margin mix, and inventory turnover metrics.
• Review peer work and explain decisions clearly in writing.

Pay is not provided in the listing. This is a contractor engagement lasting 12 weeks, with part-time work and a stated commitment of at least four hours per day and up to 40 hours per week.

• Workload: 20 or more hours per week.
• Schedule: At least four hours per day, up to 40 hours per week.
• Time-zone overlap: Four hours overlapping with Pacific Time.
• Location: Open worldwide.
• Language: Professional fluency in English.
• Experience: 3 to 15 years in retail merchandising, buying, category management, or inventory allocation.
• Expertise: Assortment architecture, product allocation, and merchandise financial planning.
• Skills: Creating and analyzing assortment plans, visual planograms, and promotional calendars.
• Retail knowledge: GMROI, inventory turns, markdowns, margin impact, and weeks of supply.
• Work style: Comfortable with peer review, structured rubrics, and clear written explanations.
• Education: Bachelor's degree or equivalent practical experience.
• Helpful background: AI evaluation, data annotation, content review, quality assurance, or a related analytical role.

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

AI training work is the human side of building artificial intelligence. People create examples, write realistic tasks, and review model responses so AI systems can produce more useful and reliable results.

Specialists are needed when a project requires sound judgment in a field such as retail merchandising. Your feedback helps set clear standards for how an AI model handles real business problems.