E-commerce Data & Catalog Specialist

**Pay:** $40-$50 per hour (USD). **Job Title:** E-commerce Data & Catalog Specialist **Job Type:** Contractor **Location:** Remote **Job Summary:** In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. **Key Responsibilities:** • Manage, structure, and curate large-scale e-commerce product catalogs, ensuring data accuracy and consistency across platforms. • Develop, implement, and refine product taxonomy frameworks to simulate real-world e-commerce classifications and browsing experiences. • Normalize and map product data sourced from diverse databases, applying best practices in structured dataset management. • Create and model realistic shopping scenarios that reflect authentic consumer behavior and decision-making processes. • Collaborate with AI development teams to define data needs and optimize catalog structures for scalable AI training. • Ensure strict adherence to data quality, integrity, and normalization standards within SQL and NoSQL environments. • Document workflows, taxonomies, and metadata structures with clear, concise written communication. **Required Skills and Qualifications:** • Demonstrated experience in product catalog management and e-commerce merchandising operations. • Proficiency with SQL and NoSQL database concepts, schema design, and product data modeling. • Strong command of product taxonomy development, categorization, and data normalization methods. • Deep understanding of structured dataset management, including large and complex e-commerce catalogs. • Excellent written and verbal communication skills, with the ability to document processes and communicate technical concepts clearly. • Experience building data-driven shopping experiences and simulating consumer journeys. • High attention to detail and a collaborative mindset for working with cross-functional teams. **Preferred Qualifications:** • Previous involvement with AI, machine learning, or data annotation projects. • Experience with scalable catalog schema design for diverse online marketplaces. • Background in creating advanced metadata structures or contributing to AI training initiatives. **Additional Info:** This is an AI training-focused role. You'll play a key part in constructing realistic, data-rich e-commerce environments to improve AI model understanding and performance. Join our customer's team to help shape the future of intelligent shopping experiences.