Remote E-commerce Data Analyst for AI Training

Alignerr Corp.; United States; Remote; MXN 248,000 - 331,000; Full time

Job summary

Alignerr is seeking an E-commerce Data Analyst to review, categorize, and evaluate product data that powers AI-driven shopping and recommendation engines. This fully remote contract role offers 10–40 hours per week with a flexible schedule and no formal e-commerce background required.

You will audit product listings, assess AI-generated descriptions and recommendations for quality, tag products using category guidelines, and provide structured feedback to improve AI search and discovery.

Qualifications

• Familiar with online shopping platforms and how product categories work.
• Detail-oriented with a systematic approach to tasks.
• Comfortable working with structured data, spreadsheets, or web-based tools.
• Strong written English communication.
• Self-motivated and reliable when working independently.
• No formal e-commerce, retail, or AI experience required.

Responsibilities

• Review product listings for accuracy, completeness, and correct categorization.
• Evaluate AI-generated product descriptions and recommendation outputs for quality and relevance.
• Tag and classify products using structured category systems and 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.

Skills

Online shopping familiarity

Detail-oriented

Structured data handling

English writing

Independent worker

Job description

Alignerr is seeking an E-commerce Data Analyst to review, categorize, and evaluate product data that powers AI-driven shopping and recommendation engines. This fully remote contract role offers 10–40 hours per week with a flexible schedule and no formal e-commerce background required.

You will audit product listings, assess AI-generated descriptions and recommendations for quality, tag products using category guidelines, and provide structured feedback to improve AI search and discovery.