Spatial Data Analyst - AI Trainer

Handshake · Enterprise · Remote · AI Trainer

This role involves evaluating AI-generated spatial data content and providing feedback to improve AI understanding of GIS tasks. It requires QGIS experience and knowledge of spatial data analysis, with no prior AI experience needed.

What you'd actually do

  1. You'll use your experience with QGIS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world GIS and spatial data workflows.

Skills

Required

  • QGIS
  • GIS concepts
  • spatial analysis
  • geospatial data workflows
  • written communication skills
  • attention to detail

Nice to have

  • ArcGIS
  • remote sensing
  • urban planning data
  • conservation mapping workflows
  • annotating or labeling spatial datasets
  • reviewing maps and spatial outputs for accuracy, data integrity, or scientific consistency

What the JD emphasized

  • QGIS

Other signals

  • evaluating AI-generated content
  • provide feedback that helps AI better understand GIS tasks
  • annotating or labeling spatial datasets
  • reviewing maps and spatial outputs for accuracy