We're looking for E-commerce Data Analysts to review, categorize, and refine product data that powers next-generation AI shopping and recommendation systems.
What if your eye for detail and familiarity with online shopping could directly improve how millions of people discover products?
This is a fully remote, flexible contract role open to anyone with a sharp, systematic mindset and a comfort with online retail environments. No formal e-commerce or data experience required — just attention to detail and a reliable approach to quality work.
Why Join Us
Work on cutting-edge AI projects alongside leading research labs.
Fully remote and flexible — work when and where it suits you.
Freelance autonomy with the structure of meaningful, task-based work.
Contribute to AI development that shapes how people shop and discover products online.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Review product listings for accuracy, completeness, and correct categorization.
Evaluate AI-generated product descriptions and shopping recommendations.
Tag and classify products using structured category systems and annotation guidelines.
Identify duplicate, misleading, or low-quality product entries.
Provide clear, structured feedback to help improve AI-powered product search and discovery.
Work independently and asynchronously on your own schedule.
Required skills
Familiar with online shopping platforms and how product categories work.
Detail-oriented with a consistent, systematic approach to evaluation tasks.
Comfortable working with structured data, spreadsheets, or web-based tools.
Clear and concise written communicator.
Self-motivated and reliable when working independently.
Preferred skills
Experience in retail, merchandising, or product management.
Background in data entry, quality assurance, or content moderation.
Familiarity with AI tools or e-commerce platforms as an end user.
Experience and education
No prior e-commerce, retail, or AI experience required.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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