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- Flag incorrect, outdated, or misleading location information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