Map & Location Data Analyst (AI Training)
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
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- Flag incorrect, outdated, or misleading location information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 context and corrections
- Complete structured, task-based assignments using maps and web-based tools
- Work independently and asynchronously on your own schedule
Who You Are
- 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
Nice to Have
- Experience in local delivery, transportation, real estate, or field-based work
- Familiarity with mapping platforms like Google Maps, Apple Maps, or OpenStreetMap
- Background in data quality, research, or content review
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
