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Geospatial Reasoning Specialist (Senior) – AI Trainer - Remote

Posted 6 weeks ago
All others
Contract
Worldwide
$6 - $65/hour

Overview

Are you an experienced geospatial professional eager to shape the future of AI? We’re developing a geospatial reasoning agent focused on Crisis Response—helping AI systems understand, assess, and predict real-world events where data is uncertain or incomplete. Your expertise will guide model development and evaluation, laying the foundation for future geospatial reasoning and forecasting applications.

In Short

  • Develop a geospatial reasoning agent for Crisis Response.
  • Evaluate AI-generated outputs and identify analytical weaknesses.
  • Design metrics and test cases to improve model understanding.
  • Review geospatial scenarios and validate model outputs.
  • Define and refine reasoning frameworks.
  • Collaborate with a team to enhance data-driven evaluations.
  • Bring expertise in geospatial analysis and GIS systems.
  • Work with tools like QGIS, ArcGIS, GDAL, and PostGIS.
  • Communicate complex spatial relationships clearly.
  • Contract position with a pay range of $6 to $65 per hour.

Requirements

  • Professional experience in geospatial analysis.
  • Experience in crisis management or related fields.
  • Proficiency with geospatial tools and libraries.
  • Strong reasoning and attention to detail.
  • Ability to communicate complex concepts effectively.

Benefits

  • Flexible work environment as a contractor.
  • Opportunity to work on cutting-edge AI projects.
  • Potential for a competitive hourly rate.
  • Work remotely from anywhere.

I.A

Invisible Agency

Invisible Agency is a forward-thinking technology company focused on supporting the development and implementation of cutting-edge AI language models. The company is dedicated to enhancing the capabilities of artificial intelligence to assist in various fields, including medical diagnostics and scientific research. With a commitment to innovation, Invisible Agency aims to improve the efficiency and effectiveness of AI algorithms by ensuring they are well-trained and equipped with high-quality data. The team fosters a collaborative environment where employees can thrive and contribute to the evolution of AI technology.

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