E-commerce Data & Catalog Specialist
Status: Open
- Pay
- $40–$50/hr
- Location
- Remote
- Employment type
- Contractor
- Openings
- 4
- Posted
- 2026-05-19
About this opportunity
Required skills
- Product Catalog Management
- SQL/NoSQL Database Knowledge
- Product Taxonomy & Data Normalization
- E-commerce Merchandising Operations
- Data Modeling & Structured Dataset Management
What you'll do
- 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.
Requirements
- 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.