About The Opportunity
We are looking for experienced Retail professionals to support a cutting-edge AI benchmarking project focused on retail and consumer-facing environments. As a Subject Matter Expert, you will create and review realistic, high-quality scenarios that reflect operational, customer service, sales, pharmacy, loss prevention, and retail management challenges across supermarkets, pharmacies, department stores, luxury retail, shopping malls, and multi-branch operations. Your expertise will help ensure AI systems understand and respond accurately within a highly active commercial sector.
What You’ll Deliver
- Design realistic Retail Trade scenarios in Spanish or English grounded in operational contexts (e.g., store operations, customer service escalations, inventory management, pharmacy workflows, retail compliance, fraud prevention, sales supervision, branch coordination)
- Adapt structured evaluation rubrics for operational problem-solving, customer interactions, retail decision-making, and compliance-related tasks
- Review AI and human-generated responses for factual accuracy, policy compliance, customer service quality, and operational realism
- Contribute to “gold standard” solutions reflecting best practices across Indian retail, pharmacy, and commercial operations
Qualifications
- Native-level Spanish (Mexico) with strong professional English proficiency
- 5+ years of professional experience in Retail, Store Operations, Pharmacy Operations, Commercial Management, Loss Prevention, or Retail Investigations
- Background in one or more relevant roles: Retail Sales Supervision, Store or Operations Management, Pharmacist or Pharmacy Operations, Retail Security, Loss Prevention, Fraud Investigation, Customer Experience, or Multi-Branch Retail Operations
- Strong understanding of customer service workflows, retail operations, compliance procedures, inventory management, and Indian retail environments
Why Collaborate with Lilt?
- Your schedule, your rul
📌 Subject Matter Expert – Retail Trade (México)
🏢 LILT
📍 México