Description du poste
Map & Location Data Analyst (AI Training)
About The Role
What if knowing your city's back streets, hidden landmarks, and neighborhood quirks could directly improve the AI tools that millions of people rely on for directions, recommendations, and local search every day?
We're looking for Map & Location Data Analysts to verify, evaluate, and improve AI-generated geographic and location data. Your on-the-ground knowledge of your local area is a genuine competitive advantage here --- no GIS degree or technical background required.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and familiarity with their surroundings.
- 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 AI recommendations
- Flag incorrect, outdated, or misleading location information
- Apply your local knowledge to provide regional 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 neighborhoods
- Detail-oriented with a natural ability to spot errors and inconsistencies
- 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 AI experience required
Nice to Have
- Experience in travel, logistics, delivery, or any role requiring strong local awareness
- Background in research, data entry, or quality assurance
- Familiarity with mapping platforms like Google Maps, Apple Maps, or OpenStreetMap
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
- Turn everyday local knowledge into a skill that shapes global AI systems
- Potential for ongoing work and contract extension as new projects launch