E-commerce Data & Catalog Specialist

Micro1; India; A distancia; INR 827.000 - 1.653.000; A tiempo parcial

Descripción de la vacante

Cashback24x7 is seeking an E-commerce Data & Catalog Specialist on a remote contractor basis. You will manage large-scale product catalogs, develop taxonomy frameworks, and model realistic shopping scenarios to support AI training.

Strong data normalization and SQL/NoSQL skills are required. You will collaborate with AI teams to shape data needs, document workflows, and ensure high data quality across platforms.

Formación

• Experience in product catalog management and ecommerce merchandising.
• Proficiency with SQL and NoSQL concepts, schema design, and data modeling.
• Strong product taxonomy development and data normalization skills.
• Experience managing large, complex ecommerce catalogs.
• Excellent written and verbal communication for documenting processes.
• Experience building data-driven shopping experiences and simulating consumer journeys.

Responsabilidades

• Manage, structure, and curate large-scale ecommerce catalogs with accuracy.
• Develop and refine product taxonomy frameworks.
• Normalize and map product data from diverse sources.
• Create realistic shopping scenarios reflecting consumer behavior.
• Collaborate with AI teams to define data needs for training.
• Ensure data quality and normalization in SQL/NoSQL environments.
• Document workflows, taxonomies, and metadata clearly.

Conocimientos

Catalog management

SQL

NoSQL

Taxonomy development

Data normalization

Documentation

Cross-functional collaboration

Data modeling

Merchandising operations

Herramientas

SQL databases

NoSQL databases

Schema design

Data modeling

Descripción del empleo

Job Title: E-commerce Data & Catalog SpecialistJob Type: ContractorLocation: RemoteJob 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.