Map & Location Data Analyst (AI Training) About The Role What if knowing your city's backstreets, hidden landmarks, and local business scene could directly improve how AI navigates the world? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data — and your real-world local knowledge is exactly what makes you valuable here. This is a fully remote, versátil contract role open to anyone with a sharp eye for detail and familiarity with their local area.\nNo GIS certification or geography degree required — just genuine awareness of how places actually look and work on the ground.\nOrganization: Alignerr\nType: Hourly Contract\nLocation: Remote\nCommitment: 10–40 hours/week What You'll Do Verify AI-generated addresses, place names, and geographic data for accuracy\nEvaluate the quality of location-based search results and map recommendations\nFlag incorrect, outdated, or misleading location information\nApply your regional knowledge to provide context and corrections AI simply can't replicate\nComplete structured, task-based assignments using maps and web-based location tools\nWork independently and asynchronously on your own schedule Who You Are Familiar with your local area — streets, neighborhoods, landmarks, and businesses\nNaturally detail-oriented with a consistent, systematic approach to spotting errors\nComfortable using digital maps and web-based tools (Google Maps, etc.)\nClear and concise written communicator\nSelf-motivated and reliable when working independently\nNo GIS, cartography, or geography experience required Nice to Have Experience in logistics, delivery, travel, urban planning, or local services\nFamiliarity with map platforms or location-based apps as a frequent user\nBackground in data entry, research, or quality assurance Why Join Us Work on cutting-edge AI projects alongside leading research labs\nFully remote and flexible — work when and where it suits you\nFreelance autonomy with the structure of meaningful, task-based work\nContribute to AI development that shapes how technology understands the physical world\nPotential for ongoing work and contract extension as new projects launch
