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E-commerce Data & Catalog Specialist

$40 - $50/hr Worldwide Remote · worldwide expert Contract / freelance
Pay rate · $40 - $50/hr
  • Job Description
  • E-commerce Data & Catalog Specialist
  • Contractor
  • 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.

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