Map & Location Data Analyst

03 ott - Italia
Alignerr

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• Identify and flag incorrect, outdated, or misleading location information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

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