Retail Merchandising AI Evaluation Specialist

OpenTrain AI, Inc.; United States; Remote; USD 28,000 - 165,000; Part time

Job summary

OpenTrain AI, Inc. seeks a contractor to create and evaluate realistic retail merchandising scenarios used to train AI models. The role focuses on assortment planning, allocation, retail math and category management within a 12-week engagement.

The work is 100% remote and part-time, with English fluency required. Candidates should bring hands-on retail planning experience and the ability to explain decisions clearly using structured evaluation standards.

Qualifications

• Hands-on retail merchandising or related commercial planning experience.
• Experience in assortment planning, promotional strategy, product allocation, and inventory management.
• 3 to 15 years in retail merchandising, buying, category management or inventory allocation.
• Strong knowledge of GMROI, inventory turns, margins and weeks of supply.

Responsibilities

• Design exercises covering assortment planning, promotional strategy, product allocation, planograms and retail commercial modeling.
• Create gold-standard solutions that show sound merchandising methods.
• Score retail planning submissions against structured evaluation rubrics.
• Build and assess scenarios using sell-through, GMROI, open-to-buy, margin mix and inventory turnover metrics.
• Review peer work, incorporate calibration feedback and resolve edge cases involving allocation logic and retail math.

Job description

Create and evaluate retail merchandising scenarios that help train and assess AI models. Use expertise in assortment planning, allocation, retail math, and category management in a 12-week contractor project.

100% Remote

Contract, part-time

Engagement

Remote

Location

Oct 27, 2026

Posted

The work

You will create realistic retail planning exercises and evaluate how well AI-generated or submitted solutions handle practical merchandising decisions. The work combines retail judgment, commercial modeling, structured scoring and clear written explanations.

You will also help set consistent evaluation standards by reviewing work with peers, using calibration feedback and resolving difficult cases involving retail math and allocation logic.

• Design exercises covering assortment planning, promotional strategy, product allocation, planograms and retail commercial modeling.
• Create gold-standard solutions that show sound merchandising methods.
• Score retail planning submissions against structured evaluation rubrics.
• Build and assess scenarios using sell-through GMROI open-to-buy margin mix and inventory turnover metrics.
• Review peer work incorporate calibration feedback and resolve edge cases involving allocation logic and retail math.

What it pays and takes

This is a contractor engagement lasting 12 weeks. The role is open worldwide and requires professional fluency in English.

The work calls for hands-on retail merchandising or related commercial planning experience along with the ability to explain decisions clearly and apply structured evaluation standards.

• Pay: The listing does not specify a rate.
• Commitment: 20 or more hours per week, with at least four hours per day and up to 40 hours per week.
• Schedule requirement: Four hours of overlap with Pacific Time.
• Experience: 3 to 15 years in retail merchandising, buying, category management or inventory allocation.
• Expertise in assortment architecture product allocation and merchandise financial planning.
• Experience creating and analyzing assortment plans visual planograms and promotional calendars.
• Strong command of GMROI inventory turns markdowns margin impact and weeks of supply.
• Ability to work through peer review follow structured rubrics and communicate decisions in writing.
• A bachelor's degree or equivalent practical experience.
• Background in AI evaluation data annotation content review quality assurance or related analytical work is helpful.

About AI training work

AI training is the human work behind artificial intelligence. People create examples review model outputs and score results so AI systems can improve. Experienced professionals are needed when a project requires sound judgment in a specialized field such as retail merchandising.

Requirements

• Experience: Entry level

Review personalized AI responses using context from connected Google apps, assess accuracy and helpfulness, and give clear feedback. This US-based contract role requires at least 20 hours per week, with flexible remote work within set overlap hours.

Review Gemini responses about learning and education, verify facts, correct errors, and write clear annotations for AI training. This remote contractor role pays $20 per hour for 20 to 40 hours per week.

Create realistic consulting scenarios and evaluation tasks for AI systems using your management consulting experience and agentic AI tools. Pay is $60 to $120 per hour equivalent, paid per task.

Create realistic policy, strategy, and geopolitical analysis tasks, then evaluate solutions for AI training. This remote contractor role runs for 12 weeks and requires at least 20 hours per week, with Pacific Time overlap.