Map & Location Data Analyst

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

Responsibilities

• 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• Flag incorrect, outdated, or misleading location information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

Qualifications

• 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

Skills

• Experience in local delivery, transportation, real estate, or field-based work is a plus
• Familiarity with mapping platforms like Google Maps, Apple Maps, or OpenStreetMap
• Background in data quality, research, or content review

Benefits

• 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