E-commerce Data Analyst (AI Training)About The RoleWhat if your eye for detail and familiarity with online shopping could directly improve the AI tools that millions of people use to discover and buy products every day?We're hiring E-commerce Data Analysts to review, categorize, and improve product data that powers AI-driven shopping and recommendation systems. This is a fully remote, flexible contract role — open to anyone with strong organizational instincts and a sharp eye for quality. No prior e-commerce or retail experience required.Organization: AlignerrType: Hourly ContractLocation: RemoteCommitment: 10–40 hours/weekWhat You'll DoReview product listings for accuracy, completeness, and correct categorizationEvaluate AI-generated product descriptions and recommendation outputsTag and classify products using structured category systems and guidelinesIdentify duplicate, misleading, or low-quality product entriesProvide clear, structured feedback to help improve AI-powered product search and discoveryWork independently and asynchronously on your own scheduleWho You AreFamiliar with online shopping platforms and how product categories workNaturally detail-oriented with a systematic, consistent approachComfortable working with structured data and web-based toolsStrong written communication skills — able to document feedback clearlySelf-motivated and reliable when working independentlyNo e-commerce, retail, or AI experience requiredNice to HaveExperience with data entry, cataloging, or quality assuranceBackground in retail, merchandising, or digital marketingFamiliarity with e-commerce platforms such as Amazon, eBay, or Shopify as a buyer or sellerWhy Join UsWork on cutting-edge AI projects alongside leading research labsFully remote and flexible — work when and where it suits youFreelance autonomy with the structure of meaningful, task-based workContribute to AI development that directly shapes how people find and buy products onlinePotential for ongoing work and contract extension as new projects launch
Public work matters more than titles: a GitHub or portfolio the hiring manager can click through in under a minute usually beats an extra bullet on your CV.
Name the exact stack in your CV so a keyword screener + a skim-reader both find it — languages, frameworks, cloud, databases.
For interviews: expect a technical screen (coding or system design) before the on-site loop. Practice explaining trade-offs out loud, not just writing correct code.
For English-only teams verify your written English is sharp — most Egypt-based tech scaleups run interview loops entirely in English.