E-commerce Data & Catalog Specialist
Listing checked September 1, 2026 · pay as published by Micro1
Overview
This role combines your e-commerce data expertise with the cutting-edge world of AI training. You'll be responsible for building and refining product catalogs and shopping scenarios that teach AI models how real-world commerce works. Your domain knowledge is the key — no prior AI experience is needed, just a deep understanding of product data, taxonomy, and structured datasets.
What You'll Do7
- 1Organize, clean, and maintain large-scale e-commerce product catalogs to ensure accuracy across systems.
- 2Design and implement product taxonomy frameworks that mimic real-world classification and browsing behaviors.
- 3Normalize and map product data from various databases, applying best practices in structured dataset management.
- 4Build realistic shopping scenarios that reflect authentic consumer decision-making processes.
- 5Partner with AI teams to define data requirements and optimize catalog structures for scalable training.
- 6Enforce strict data quality and integrity standards within SQL and NoSQL environments.
- 7Document workflows, taxonomies, and metadata structures with clear, concise communication.
Requirements9
- 1Proven experience in product catalog management and e-commerce merchandising operations.
- 2Strong grasp of SQL and NoSQL database concepts, schema design, and product data modeling.
- 3Expertise in developing product taxonomy, categorization, and data normalization methods.
- 4Ability to manage large, complex structured datasets with high attention to detail.
- 5Excellent written and verbal communication skills for documenting processes and collaborating with teams.
- 6Experience building data-driven shopping experiences and simulating consumer journeys.
- 7Preferred: previous work with AI, machine learning, or data annotation projects.
- 8Preferred: experience with scalable catalog schema design for diverse online marketplaces.
- 9Preferred: background in creating advanced metadata structures or contributing to AI training initiatives.
Who Should Apply
You're an e-commerce data specialist who thrives on bringing order to complex product catalogs. You have a sharp eye for detail, love working with structured data, and are excited by the idea of helping AI understand real-world shopping behavior. Whether you come from a merchandising, data management, or catalog operations background, if you can build clean taxonomies and simulate authentic e-commerce flows, this role is for you.
Salary Insight
This contract position pays $40-$50 per hour, based on experience.
Pay and demand for Data Engineering roles
AggregatedTypical pay
$70/hour
This role
$40–$50/hr
Most Data Engineering roles pay $40–$98 per hour. This role's pay falls inside that range.
Based on 1,081 similar roles that publish pay · 302 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 1,266
- Listed in last 30 days
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Hiring most right now: micro1 (363) · SME Careers (254) · Mercor (158)
Most requested skills · share of roles
- ai training13%
- llm evaluation11%
- ai evaluation11%
- data annotation9%
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Compare your resume against these rolesLocation
Compensation
$40–50/hr
Required Skills
Application Tip
In your application, highlight a specific project where you normalized a messy product catalog or built a taxonomy from scratch. Describe the size of the dataset, the tools you used, and the impact on downstream processes — this directly mirrors the core work of the role.
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