Intern - Geospatial AI Fall 2026

WGI is seeking a Geospatial AI Intern to support hands-on AI and machine learning development in a geospatial environment. The intern will prepare geospatial data, assist with AI/ML model development and evaluation, build automation workflows, create visualizations, document technical work, and collaborate with geospatial and data science teams.

What you'll do:

• Assist in the preparation and cleaning of geospatial data, including satellite imagery, lidar, and vector datasets
• Support the development and evaluation of AI/ML models for geospatial applications, such as feature extraction, classification, and image segmentation
• Work with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based geospatial platforms
• Help build and test geospatial work-flows and automation pipelines
• Participate in data visualization tasks, creating maps and summaries of AI model results
• Document code, processes, and findings in an organized and reproducible manner
• Collaborate with lidar analysts, GIS analysts, and data scientists on active projects
• Attend team meetings and contribute to technical discussions, brainstorming, and review sessions

What they're looking for:

• Current enrollment in a 4-year degree program in Computer Science, Computer Engineering, Geospatial Science, Data Science, or a related STEM field
• Completed coursework in programming (Python preferred), data structures, or machine learning fundamentals
• Interest in geospatial data, remote sensing, and AI/ML applications
• Ability to work independently and follow technical guidance
• Strong attention to detail and willingness to learn
• Good written and verbal communication skills
• Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similar
• Experience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas)
• Exposure to machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience using Git or GitHub for version control
• Previous internships, personal projects, or coursework related to spatial analysis, AI, or remote sensing

Benefits:

• Paid internship
• A well-rounded learning environment with hands-on experience that enhances classroom education
• Hands-on experience with real projects for WGI's private and public clients
• Interns will be paired with a technical mentor and receive regular feedback and career development guidance
• Opportunity to work on real client or research projects in the geospatial intelligence and engineering domain
• Collaborative and inclusive team environment
• Exposure to geospatial tools, AI pipelines, and industry workflows
• Emphasis on learning, experimentation, and professional growth