Terac logo

Shopping Experts: AI Training

Posted about 1 month ago

RemoteUnited States

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

Job details
Workplace
Remote
Location
United States

Terac is the expert marketplace for research companies: verified, on-demand humans you can source through a dashboard, an API, or an MCP. We aggregate, identity-verify, and continuously vet a panel of domain experts (doctors, engineers, lawyers, operators, parents, hobbyists), then handle recruitment, AI-led screening, scheduling, moderation, and payout on verified completion so research teams, products, and AI agents can source the exact human they need on demand.

Employees
24
Industry
Market Research
Headquarters
San Francisco, California
Founded
2025
Company location
San Francisco, California 94105, US

Key team members

Harvey Taphorn

Harvey Taphorn

Ithallo K. Garcia

Ithallo K. Garcia

Nereyda Rodríguez

Nereyda Rodríguez

Claire Veiga C.

Claire Veiga C.

Apply smarter with Jobr

Jobr aggregates jobs directly from company career portals — no middlemen. Our team applies on your behalf with AI-tailored resumes, reviewed by a human before submission.

Direct from company career pages
AI-personalised cover letters
Human review before every submit
Application tracking & follow-ups