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Merchandising and Category Management Professional for AI Evaluation

Saidgig
CompanySaidgig
CategoryData & Analytics
Location
Remote
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
First seen2 Aug 2026 (the employer did not state a posting date)
Last verified9 Aug 2026
SourceThe employer's own careers page (company_site)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
Role Overview Merchandising and Category Management specialists apply hands-on pricing, markdown, and competitive analysis expertise to evaluate AI-generated merchandising content and produce expert feedback and training data. This contract role draws on real-world merchandising workflows to improve how AI systems understand pricing strategy, markdown planning, and category management tactics. No prior AI experience is required. Key Responsibilities • Review AI-generated responses about merchandising and category management for accuracy, relevance, and practical applicability. • Provide detailed, expert feedback that reflects real-world practices in pricing strategy, markdown optimization, and promotional planning. • Create high-quality training examples that represent common workflows and edge cases from daily merchandising work. • Use your experience with tariff and competitive pricing analysis, markdown hindsight analysis, and promotional campaign planning to inform evaluations. • Work independently and communicate written findings clearly to AI research teams. Qualifications • Minimum 2 years of professional experience in merchandising, category management, or buying. • Relevant job titles include Merchandiser, Merchandise Planner, Category Manager, Buyer, or equivalent retail industry roles. • Hands-on experience with merchandising and category management workflows, including pricing strategy, markdown optimization, and promotional campaign planning. • Strong written communication skills, keen attention to detail, and the ability to work asynchronously and independently. • No prior AI or machine learning experience required. Work Terms • Engagement type: part-time, flexible hourly contract work, not a traditional full-time job. • Fully remote, asynchronous schedule with no minimum hour requirement. • Typical participation when projects are active is approximately 5 to 20 hours per week. • Placement is project-dependent, with opportunities to be considered for future projects as they become available. Compensation • Up to $80/hr (depending on the project). Eligibility • F-1 students who are eligible for CPT or OPT may be eligible to participate. Work with your Designated School Official to confirm eligibility. • If your school requires enrollment in a specific CPT course, this program may not meet that requirement. • STEM OPT is not supported for participation in this program. Application process • Create an account on the project platform and complete the required profile information. • Complete identity verification as requested. • Apply or opt into relevant projects and complete onboarding steps for those projects. • Begin participating in project work and receive payment according to the project''s payment terms.