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?
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.
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.
Responsibilities
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Flag incorrect, outdated, or misleading location information.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.
Required skills
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.
Preferred skills
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.
Thriveth makes AI data-training work easier to find, understand, and navigate. We replace uncertainty with clear opportunities, realistic expectations, and insights from real application journeys.
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