[Hiring] Shopping Experts: AI Training @Terac

Role Description

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 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.

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
• 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
  • 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.