Map & Location Data Analyst (AI Training)
About The Role
What if knowing your city's streets, shortcuts, and hidden gems could directly improve the AI tools millions of people rely on every day We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data — and your local knowledge is exactly what makes this work valuable.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a solid sense of their local area. No GIS certification or geography degree required — just familiarity with how the real world is laid out and a commitment to accuracy.
- 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- Flag incorrect, outdated, or misleading location information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 meaningful context and corrections
- Complete structured, task-based assignments using maps and web-based location tools
- Work independently and asynchronously on your own schedule
Who You Are
- Familiar with your local area — streets, landmarks, neighborhoods, and businesses
- Naturally detail-oriented with a systematic approach to spotting errors
- Comfortable navigating maps and web-based tools
- Clear and concise in written communication
- Self-motivated and reliable when working independently
- No GIS, cartography, or geography experience required
Nice to Have
- Experience in data quality, research, or fact-checking
- Familiarity with mapping platforms like Google Maps, Apple Maps, or OpenStreetMap
- Background in logistics, delivery, travel, or any field that relies on precise location data
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
