Map & Location Data Analyst
Pubblicato il 17-10-2026 - Alignerr in Torino
Map & Location Data Analyst (AI Training)
About The Role
What if knowing your city — its streets, hidden shortcuts, closed businesses, and renamed landmarks — could directly improve the AI navigation tools that millions of people use every day? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data, and your local knowledge is the most valuable thing you bring to this role.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a familiarity with their local area. No GIS certification, geography degree, or technical background required.
- 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
- Identify and flag incorrect, outdated, or misleading location information
- Apply your regional knowledge to provide context and corrections AI systems simply can't replicate
- 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 consistent, methodical approach to tasks
- Comfortable using online maps and web-based research tools
- Clear and concise in written communication
- Self-motivated and reliable when working independently
- No GIS, geography, or prior AI experience required
Nice to Have
- Experience with Google Maps, Apple Maps, OpenStreetMap, or similar platforms
- Background in logistics, delivery, real estate, or any field requiring strong spatial awareness
- Familiarity with data quality review or structured annotation workflows
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and whe