<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <strong>E-commerce Data Analyst (AI Training)<br/><br/></strong><strong>About The Role<br/><br/></strong>What if your eye for detail and familiarity with online shopping could directly influence how millions of people discover and buy products? We're looking for E-commerce Data Analysts to review, categorize, and improve product data that powers AI-driven shopping and recommendation systems.<br/><br/>This is a fully remote, flexible contract role open to anyone who shops online and can evaluate product information with a critical eye. No formal e-commerce or retail experience needed — just strong attention to detail and a systematic mindset.<br/><br/><ul><li>Organization: Alignerr</li><li>Type: Hourly Contract</li><li>Location: Remote</li><li>Commitment: 10–40 hours/week<br/><br/></li></ul><strong>What You'll Do<br/><br/></strong><ul><li>Review product listings for accuracy, completeness, and correct categorization</li><li>Evaluate AI-generated product descriptions and recommendations for quality and relevance</li><li>Tag and classify products using structured category systems and defined guidelines</li><li>Identify duplicate, misleading, or low-quality product entries</li><li>Provide clear, structured feedback to help improve AI-powered product search and discovery</li><li>Work independently and asynchronously on your own schedule<br/><br/></li></ul><strong>Who You Are<br/><br/></strong><ul><li>Familiar with online shopping platforms and how products are organized and presented</li><li>Naturally detail-oriented with a consistent, systematic approach to categorization</li><li>Comfortable working with structured data, spreadsheets, or web-based tools</li><li>Strong written communication skills in English</li><li>Self-motivated and reliable when working independently</li><li>No prior e-commerce, retail, or AI experience required<br/><br/></li></ul><strong>Nice to Have<br/><br/></strong><ul><li>Background in retail, merchandising, data entry, or product management</li><li>Experience with quality assurance or data annotation</li><li>Familiarity with major e-commerce platforms as a frequent user or seller<br/><br/></li></ul><strong>Why Join Us<br/><br/></strong><ul><li>Work on cutting-edge AI projects alongside leading research labs</li><li>Fully remote and flexible — work when and where it suits you</li><li>Freelance autonomy with the structure of meaningful, task-based work</li><li>Contribute to AI development that directly shapes how people shop online</li><li>Potential for ongoing work and contract extension as new projects launch</li></ul> </div>