What if knowing your city's backstreets, hidden landmarks, and neighbourhood quirks could directly improve the AI tools that millions of people use to navigate the world?
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 a solid sense of place and a commitment to accuracy.
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 understand the world.
Potential for ongoing work and contract extension as new projects launch.
Responsibilities
Review and verify AI-generated addresses, place names, and geographic data for accuracy.
Evaluate the quality of location-based search results and recommendations.
Flag incorrect, misleading, or outdated location information.
Apply your regional knowledge to provide meaningful local 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, businesses, and neighbourhoods.
Detail-oriented with a natural instinct for spotting errors and inconsistencies.
Comfortable using digital maps and web-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 travel, logistics, urban planning, delivery, or local services.
Familiarity with data quality review or annotation workflows.
Experience and education
No GIS, cartography, or geography experience required.
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.