E-commerce Simulation Expert

Micro1; India; Remote; INR 2,300,000 - 4,500,000; Full time

Job summary

Cashback24x7 seeks an E-commerce Simulation Expert to shape AI-powered shopping experiences. In this expert-level trainer role, you will use deep e-commerce knowledge to create high-fidelity virtual stores and train language models on consumer behavior.

You will design synthetic stores, build catalogs, generate shopping scenarios, develop evaluation rubrics, analyze model performance, and collaborate with AI and data science teams to drive data-driven training.

Responsibilities

• Design and build synthetic, digital stores with realistic product assortments, pricing, and category structures.
• Generate, structure, and maintain comprehensive product catalogs, ensuring data quality, logical consistency, and real-world complexity.
• Develop diverse, authentic shopping scenarios and user prompts, simulating varied consumer intents, preferences, and challenging edge cases.
• Create evaluation rubrics and conduct rigorous QA to assess AI-generated responses for accuracy, relevance, and reasoning.
• Continuously analyze model performance, identify failure patterns, and refine data and scenarios for iterative improvement.
• Collaborate with AI and data science teams to translate e-commerce expertise into actionable training datasets and insights.
• Document processes, share findings, and help drive best practices in simulation-based AI training.

Skills

E-commerce knowledge

Job description

Join our customer's team as an E-commerce Simulation Expert and help shape the next generation of AI-powered shopping experiences. In this expert-level AI trainer position, you’ll leverage your deep e-commerce knowledge to create high-fidelity virtual retail environments and train advanced language models. Your work will directly impact how AI understands, simulates, and responds to nuanced consumer shopping behaviors.

Key Responsibilities:

• Design and build synthetic, digital stores with realistic product assortments, pricing, and category structures.
• Generate, structure, and maintain comprehensive product catalogs, ensuring data quality, logical consistency, and real-world complexity.
• Develop diverse, authentic shopping scenarios and user prompts, simulating varied consumer intents, preferences, and challenging edge cases.
• Create evaluation rubrics and conduct rigorous QA to assess AI-generated responses for accuracy, relevance, and reasoning.
• Continuously analyze model performance, identify failure patterns, and refine data and scenarios for iterative improvement.
• Collaborate with AI and data science teams to translate e-commerce expertise into actionable training datasets and insights.
• Document processes, share findings, and help drive best practices in simulation-based AI training.