Map & Location Data Analyst

Map & Location Data Analyst (AI Training)

About The Role

What if knowing your city's backstreets, hidden landmarks, and local business scene could directly improve how AI navigates the world? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data — and your real-world local knowledge is exactly what makes you valuable here.

This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and familiarity with their local area. No GIS certification or geography degree required — just genuine awareness of how places actually look and work on the ground.

• 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 map recommendations
• Flag incorrect, outdated, or misleading location information
• Apply your regional knowledge to provide context and corrections AI 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, neighborhoods, landmarks, and businesses
• Naturally detail-oriented with a consistent, systematic approach to spotting errors
• Comfortable using digital maps and web-based tools (Google Maps, etc.)
• Clear and concise written communicator
• Self-motivated and reliable when working independently
• No GIS, cartography, or geography experience required

Nice to Have

• Experience in logistics, delivery, travel, urban planning, or local services
• Familiarity with map platforms or location-based apps as a frequent user
• Background in data entry, research, or quality assurance

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