Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.
Map & Location Data Analyst
Job description
Map & Location Data Analyst (AI Training)
About the Role
What if your knowledge of your own neighborhood — the streets, the shortcuts, the businesses that moved or closed — could directly improve the AI tools millions of people rely on every day for navigation, search, and discovery?
We're looking for Map & Location Data Analysts to help verify and improve AI-generated geographic data. Your local knowledge is genuinely valuable here. Whether you know your city like the back of your hand or simply have a sharp eye for when something looks off on a map, this role is built for you.
This is a fully remote, flexible contract role. No GIS certification, geography degree, or prior AI experience required.
- 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 local recommendations
- Flag incorrect, outdated, or misleading location information
- Apply your regional knowledge to provide real-world context and corrections
- 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, landmarks, neighborhoods, and businesses
- Detail-oriented with a natural instinct for spotting errors or inconsistencies
- Comfortable navigating maps and web-based tools
- Clear and concise in written communication
- Self-motivated and reliable when working independently
- No GIS, cartography, or AI experience required
Nice to Have
- Experience using mapping platforms like Google Maps, Apple Maps, or OpenStreetMap
- Background in local research, urban planning, travel, or community knowledge
- Familiarity with data quality review or annotation workflows
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 directly shapes how people navigate and discover the world around them
- Potential for ongoing work and contract extension as new projects launch
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