Geospatial Analysis Specialist (QGIS)

Weekday AI
$30 - $80Remote

About The Position

In this position, you will leverage your expertise to contribute to the training of next-generation AI systems. Your efforts will influence how models learn, reason, and operate by providing high-quality, real-world data. No previous experience in AI is necessary — your domain knowledge is what counts.

Requirements

  • In-depth knowledge of QGIS, including spatial database management, geoprocessing, and map creation.
  • Strong Python skills with practical experience automating processes within QGIS using PyQGIS.
  • Comprehensive understanding of spatial projections, coordinate systems, and data transformations.
  • Demonstrated capability to customize QGIS through plugin development or scripting.
  • Excellent written and verbal communication skills suitable for both technical and non-technical audiences.
  • Proven experience producing professional cartographic outputs tailored to diverse decision-making scenarios.
  • Outstanding organizational abilities and attention to detail while handling multiple project priorities.

Nice To Haves

  • Experience working with remote or distributed teams that support external clients.
  • Familiarity with other open-source GIS tools or cloud-based geospatial platforms.
  • Background in spatial analysis within fields such as environmental science, urban planning, or resource management.

Responsibilities

  • Design, oversee, and maintain spatial databases, ensuring data accuracy and integrity throughout all projects.
  • Perform advanced geoprocessing and spatial modeling utilizing QGIS, and translate the results into practical insights.
  • Create, customize, and support QGIS plugins and extensions to meet specific project requirements.
  • Automate geospatial analysis workflows with Python (PyQGIS) to enhance efficiency and reproducibility.
  • Produce high-quality cartographic maps and visualizations for use in reports, presentations, and decision-making.
  • Work collaboratively with multidisciplinary team members to gather requirements and develop geospatial solutions.
  • Effectively communicate complex technical information both orally and in writing to internal teams and external stakeholders.
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