Analysts verify AI-generated addresses, place names and location results against their local knowledge and mapping tools. Suits people who know their area well and can spot errors in place and route information.
About the role
Map & Location Data Analyst (AI Training)
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
- Commitment : 10–40 hours/week
- 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- Flag incorrect, outdated, or misleading location information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
- Work independently and asynchronously on your own schedule
- 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
- No GIS, cartography, or geography background required
- 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
- Background in data quality, research, or content review
- 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
Official source: alignerr.com. Details can change; the platform's page is the final word. Something wrong with this listing? Tell us.
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