Map & Location Data Analyst
Map & Location Data Analyst (AI Training)
Scopra se questa occasione è adatta a lei leggendo tutte le informazioni riportate di seguito.
What if knowing your city — its streets, hidden shortcuts, closed businesses, and renamed landmarks — could directly improve the AI navigation tools that millions of people use every day? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data, and your local knowledge is the most valuable thing you bring to this role.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a familiarity with their local area. No GIS certification, geography degree, or technical background required.
About The Role
-
- 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 recommendations
- Identify and flag incorrect, outdated, or misleading location information
- Apply your regional knowledge to provide context and corrections AI systems simply can't replicate
- 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
- Naturally detail‑oriented with a consistent, methodical approach to tasks
- Comfortable using online maps and web‑based research tools
- Clear and concise in written communication
- Self‑motivated and reliable when working independently
- No GIS, geography, or prior AI experience required
Nice to Have
-
- Experience with Google Maps, Apple Maps, OpenStreetMap, or similar platforms
- Background xlwpduy in logistics, delivery, real estate, or any field requiring strong spatial awareness
- Familiarity with data quality review or structured 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
- Your local expertise has real impact — you'll be improving tools that people rely on every day
- Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr
Scopra se questa occasione è adatta a lei leggendo tutte le informazioni riportate di seguito.
What if knowing your city — its streets, hidden shortcuts, closed businesses, and renamed landmarks — could directly improve the AI navigation tools that millions of people use every day? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data, and your local knowledge is the most valuable thing you bring to this role.
This is a fully remote, flexible contract role open to anyone with a sharp eye for detail and a familiarity with their local area. No GIS certification, geography degree, or technical background required.
About The Role
-
- 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 recommendations
- Identify and flag incorrect, outdated, or misleading location information
- Apply your regional knowledge to provide context and corrections AI systems simply can't replicate
- 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
- Naturally detail‑oriented with a consistent, methodical approach to tasks
- Comfortable using online maps and web‑based research tools
- Clear and concise in written communication
- Self‑motivated and reliable when working independently
- No GIS, geography, or prior AI experience required
Nice to Have
-
- Experience with Google Maps, Apple Maps, OpenStreetMap, or similar platforms
- Background xlwpduy in logistics, delivery, real estate, or any field requiring strong spatial awareness
- Familiarity with data quality review or structured 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
- Your local expertise has real impact — you'll be improving tools that people rely on every day
- Potential for ongoing work and contract extension as new projects launch
#J-18808-Ljbffr