Geospatial Analysis Specialist - Remote

Job Description

Job Title: Geospatial Analysis Specialist

Job Type: Contract

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

• Design, manage, and maintain spatial databases and ensure data integrity and accuracy across projects.
• Conduct advanced geoprocessing and spatial modeling using QGIS and integrate results into actionable insights.
• Develop, customize, and maintain QGIS plugins and extensions tailored to project specifications.
• Automate geospatial analysis workflows using Python (PyQGIS) to improve efficiency and reproducibility.
• Prepare high-quality cartographic maps and visualizations for reports, presentations, and decision support.
• Collaborate with cross-functional team members to understand requirements and transform them into geospatial solutions.
• Communicate complex technical concepts clearly in both written and verbal form to internal and external stakeholders.
  
  

Required Skills And Qualifications

• Expertise in QGIS, including spatial database management, geoprocessing, and map production.
• Strong proficiency in Python, with hands-on experience automating tasks within QGIS (PyQGIS).
• Thorough understanding of spatial projections, coordinate systems, and data transformation.
• Proven ability to customize QGIS through plugin development or scripting.
• Exceptional written and verbal communication skills for technical and non-technical audiences.
• Demonstrated ability to produce professional cartographic outputs tailored to various decision-making contexts.
• Strong organizational skills and attention to detail while managing multiple project priorities.
  
  

Preferred Qualifications

• Experience working in remote or distributed teams supporting external customers.
• Familiarity with additional open-source GIS tools or cloud-based geospatial platforms.
• Background in spatial analysis within industries such as environmental science, urban planning, or resource management.