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Handshake

Spatial Data Scientist - AI Trainer

1w

Handshake

US · Contract · $90,000 – $140,000

About this role

Handshake seeks skilled QGIS users for flexible, hourly contract work supporting AI research. Draw on hands-on experience with geographic information systems, spatial data analysis, or environmental mapping to evaluate AI-generated content. Provide feedback that helps AI better understand GIS tasks and spatial data workflows.

This ongoing, project-based opportunity fits alongside other commitments. Use QGIS expertise to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world GIS workflows. No prior AI or technical experience is required.

Work as an independent contractor in a fully remote setup from anywhere with reliable internet and a desktop or laptop. Enjoy a flexible, asynchronous schedule with no minimum hour requirement; many contribute 5–20 hours per week on active projects. Projects open periodically across expertise areas year-round.

Get matched to relevant projects after creating a Handshake account, uploading your resume, and verifying identity. Placement depends on current needs, with consideration for future opportunities. F-1 students eligible for CPT or OPT may qualify, pending school approval.

Requirements

  • At least 3+ years of hands-on experience with QGIS through professional work or freelance projects
  • Working knowledge of GIS concepts, spatial analysis, and geospatial data workflows
  • Experience with spatial analysis, environmental mapping, or geospatial data using QGIS or ArcGIS
  • Familiarity with remote sensing, urban planning data, or conservation mapping workflows
  • Experience annotating or labeling spatial datasets and geographic assets
  • Ability to review maps and spatial outputs for accuracy, data integrity, or scientific consistency
  • Strong written communication skills and attention to detail
  • Ability to work independently and follow written guidelines

Responsibilities

  • Evaluate AI-generated content using hands-on QGIS experience
  • Provide feedback on GIS tasks and spatial data workflows
  • Create tool-related questions based on QGIS workflows
  • Review AI-generated responses for accuracy and relevance
  • Assess spatial outputs for data integrity and scientific consistency
  • Annotate or label spatial datasets and geographic assets

Benefits

  • Flexible hourly contract work alongside other commitments
  • Fully remote with reliable internet and computer access
  • Asynchronous schedule, typically 5–20 hours per week
  • Ongoing year-round projects across expertise areas