Shopping Experts: AI Training

Terac

2d•$12 - $220

About The Position

We are conducting a research study with Shopping professionals to collect real-world professional scenarios that will help train AI models to handle complex advisory situations. The objective of this research is to help AI understand real shopping situations — especially those involving nuances, trade-offs, and hidden details that completely change the required approach. This form exclusively accepts scenarios that are resolved through a conversation or consultation. No tool use or file uploads are required. Submissions that depend on digital tools should be submitted in the tool-supported scenario form instead. Participants should be personal shoppers, styling professionals, retail buyers, merchandisers, e-commerce and customer experience professionals, gift consultants, event planners, or experienced shoppers who navigated a complex purchase decision. Generic responses, use of AI, inconsistency across fields, or made-up cases without real domain knowledge will be automatically rejected. The use of AI is not permitted. Generic or superficial responses will be rejected. Your story must reflect real experience in the field and knowledge of how situations actually work in practice. Submissions with clear hidden details and concrete constraints are significantly more valued. Approval criteria include coherence between fields and the story, real and domain-specific details, at least 3 concrete constraints, and a clear hidden detail that changes the required approach.