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Terac

Shopping Experts: AI Training

Posted Yesterday
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Remote
Hiring Remotely in United States
12-220 Annually
Entry level
Remote
Hiring Remotely in United States
12-220 Annually
Entry level
Participants will share detailed accounts of shopping experiences, describe retail scenarios, discuss buying influences, and provide insights into vendor interactions, focusing on real-world advisory situations for AI training.
The summary above was generated by AI

Welcome! We are conducting a research study with Shopping professionals. The goal is 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.

Conversation-only scenarios

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.

Who can participate
  • Personal shoppers and styling professionals

  • Retail buyers and merchandisers

  • E-commerce and customer experience professionals

  • Gift consultants and event planners

  • Experienced shoppers who navigated a complex purchase decision

Validation Criteria

Automatically rejected: Generic responses, use of AI, inconsistency across fields (detailed in one field, superficial in another), made-up cases without real domain knowledge. 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.Required for success: a scenario that is resolved primarily through conversation or consultation. Submissions with clear hidden details and concrete constraints are significantly more valued.Approval criteria: 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.

Expected time

~30 minutes per submission.Remember: The use of AI is not permitted

Responsibilities
  • Share detailed accounts of past shopping experiences.

  • Describe various retail and personal purchase scenarios.

  • Discuss factors influencing your buying decisions.

  • Provide insights into how you interact with different vendors or platforms.

  • Articulate challenges and successes encountered during purchases.

Requirements
  • Individuals interested in contributing to AI development.

  • People who enjoy reflecting on their consumer journeys.

  • Those eager to share their insights on purchase processes.

  • Anyone keen to improve future advisory technologies.

  • Individuals with a willingness to articulate their experiences clearly.

Compensation

USD 12.00-220.00 for the interview

Ready to participate?

Start your paid interview now

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