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Map & Data Analyst

Job in Seattle, King County, Washington, 98127, USA
Listing for: Alignerr Corp.
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 55000 USD Yearly USD 55000.00 YEAR
Job Description & How to Apply Below
Map & Location Data Analyst (AI Training) About

The Role

What if knowing your city's back streets, hidden landmarks, and neighborhood quirks could directly improve the AI tools that millions of people rely on every day? We're looking for Map & Location Data Analysts to verify and improve AI-generated geographic data — and your local knowledge is exactly what we need.

  • 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
  • Flag incorrect, missing, or outdated location information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
Who You Are
  • Familiar with your local area — streets, landmarks, businesses, and neighborhoods
  • Detail-oriented with the ability to consistently spot errors and inconsistencies
  • Comfortable using digital maps and browser-based tools
  • Clear and concise written communicator
  • Self-motivated and reliable when working independently
  • No GIS, geography, or AI experience required
Nice to Have
  • Experience with mapping platforms such as Google Maps, Apple Maps, or Open Street Map
  • Background in data entry, research, or quality assurance
  • Familiarity with urban planning, logistics, or local government information
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 shapes how technology understands the physical world
  • Potential for ongoing work and contract extension as new projects launch
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