Map & Location Data Analyst
We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data — and your local knowledge is exactly what we need.
Hiring companyAlignerr
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 every day?
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, cartography, or technical geography experience required.
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.
Responsibilities
- Verify AI-generated addresses, place names, and geographic data for accuracy.
- Evaluate the quality of location-based search results and recommendations.
- Flag incorrect, missing, or outdated location information.
- Apply your regional knowledge to provide local context and corrections.
- Complete structured, task-based assignments using maps and web-based tools.
- Work independently and asynchronously on your own schedule.
Required skills
- Familiar with your local area — streets, landmarks, businesses, and neighborhoods.
- Detail-oriented with the ability to consistently spot errors and inconsistencies.
- Comfortable using digital maps and browser-based tools.
- Clear and concise written communicator.
- Self-motivated and reliable when working independently.
Preferred skills
- Experience with mapping platforms such as Google Maps, Apple Maps, or OpenStreetMap.
- Background in data entry, research, or quality assurance.
- Familiarity with urban planning, logistics, or local government information.
Experience and education
- No GIS, geography, or AI experience required.
Schedule details
10–40 hours per week.
Eligibility
Work arrangement: Fully remote
Eligible countries: Mexico
Compensation details
$40–$120 per hour.
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