Map & Location Data Analyst
About this role
About the Role What if knowing your city — its streets, shortcuts, hidden gems, and changing neighborhoods — could directly improve the AI tools that millions of people use to navigate the world every day? We're looking for Map & Location Data Analysts to verify, evaluate, and improve AI-generated geographic data. Your on-the-ground knowledge of local places, addresses, and landmarks is exactly what's needed to make AI smarter and more accurate. No GIS degree required — just a sharp eye and familiarity with your surroundings. This is a fully remote, flexible contract role open to anyone with strong attention to detail and a genuine sense of their local area. - Organization: Alignerr - Type: Hourly Contract - Location: Remote - Commitment: 10–40 hours/week What You'll Do - Verify AI-generated addresses, place names, and geographic data for accuracy - Evaluate the quality of location-based search results and recommendations - Flag incorrect, outdated, or misleading location information - Apply your regional knowledge to provide context and corrections - Complete structured, task-based assignments using maps and web-based tools - Work independently and asynchronously on your own schedule Who You Are - Familiar with your local area — streets, landmarks, businesses, and how they change over time - Detail-oriented with a natural ability to spot errors and inconsistencies - Comfortable using digital maps and web-based research tools - Clear and concise written communicator - Self-motivated and reliable when working independently - No GIS, cartography, or geography background required Nice to Have - Experience in local delivery, transportation, real estate, or field-based work - Familiarity with mapping platforms like Google Maps, Apple Maps, or OpenStreetMap - Background in data quality, research, or content review 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 technology understands the physical world - Potential for ongoing work and contract extension as new projects launch
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