What if knowing your city — its streets, hidden shortcuts, local landmarks, and neighborhood quirks — could directly improve the AI tools that millions of people use to navigate the world every day?
Your firsthand knowledge of your local area is exactly what makes this work valuable. No GIS degree. No technical background. Just a sharp eye, a sense of place, and a commitment to accuracy.
This is a fully remote, flexible contract role open to anyone who knows their way around and cares about getting the details right.
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, business listings, and geographic data.
Evaluate the accuracy of location-based search results and AI-powered recommendations.
Flag incorrect, outdated, or misleading location information.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 how places actually work.
Detail-oriented with a natural ability to spot errors and inconsistencies.
Comfortable using online maps and browser-based tools.
Clear and concise written communicator.
Self-motivated and reliable when working independently.
Preferred skills
Experience in logistics, delivery, travel, urban planning, or local services.
Familiarity with platforms like Google Maps, Apple Maps, or OpenStreetMap.
Background in data entry, research, or quality assurance.
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.