Find GIS JobsGeospatial AI Intern – Fall 2026
WGI
- Location
- Huntsville, AL
- Posted
- Oct 15, 2026
About the job
Geospatial AI Intern – Fall 2026 Recruitment began on October 13, 2026 and the job listing Expires on November 13, 2026 We are seeking a detail-oriented and motivated Geospatial AI Intern – Fall 2026 to join our team for a hands-on, project-based internship supporting AI and machine learning development within a geospatial environment in the Huntsville, AL office. This is in the office only. This position is ideal for students currently enrolled in a Computer Science, Engineering, or GIS-related undergraduate program who are eager to apply their academic knowledge to real-world spatial data problems. The internship will provide exposure to remote sensing, spatial analytics, machine learning, and GIS software tools in a professional, collaborative setting. At WGI, you will find talented, passionate associates providing exceptional service in collaborative, team-driven environments, all while having fun and enjoying the work they do. WGI prides its reputation as one of the nation’s top consulting firms — and our awards support our beliefs. We strive to stay ahead of the curve investing in the latest tools and technology. We are always looking for remarkable individuals to join our team and help expand our visionary approach. If you think you are an innovative team-player and want to shape your community, join our WGI team today! We offer paid internships for college students. Our college internship program provides a well-rounded learning environment that will serve to enhance your classroom education with hands on experience. You will gain hands-on experience with real projects for WGI’s private and public clients. Bridge the gap between academics and the professional work environment as you develop the skills to navigate everyday work scenarios. It’s the perfect way to discover where a career with WGI can take you. Assist in the preparation and cleaning of geospatial data, including satellite imagery, lidar, and vector datasetsSupport the development and evaluation of AI/ML models for geospatial applications, such as feature extraction, classification, and image segmentationWork with tools such as Python, ArcGIS, QGIS, Solv3D, and cloud-based geospatial platformsHelp build and test geospatial work-flows and automation pipelinesParticipate in data visualization tasks, creating maps and summaries of AI model resultsDocument code, processes, and findings in an organized and reproducible mannerCollaborate with lidar analysts, GIS analysts, and data scientists on active projectsAttend team meetings and contribute to technical discussions, brainstorming, and review sessions Required: Current enrollment in a 4-year degree program in Computer Science, Computer Engineering, Geospatial Science, Data Science, or a related STEM fieldCompleted coursework in programming (Python preferred), data structures, or machine learning fundamentalsInterest in geospatial data, remote sensing, and AI/ML applicationsAbility to work independently and follow technical guidanceStrong attention to detail and willingness to learnGood written and verbal communication skills Preferred: Familiarity with GIS platforms such as ArcGIS Pro, QGIS, or similarExperience working with geospatial data libraries (e.g., GDAL, rasterio, geopandas)Exposure to machine learning libraries such as scikit-learn, TensorFlow, or PyTorchExperience using Git or GitHub for version controlPrevious internships, personal projects, or coursework related to spatial analysis, AI, or remote sensing Internship Details Hours: Part-time or full-time depending on availability and academic scheduleMentorship: Interns will be paired with a technical mentor and receive regular feedback and career development guidance Work Environment Opportunity to work on real client or research projects in the geospatial intelligence and engineering domainCollaborative and inclusive team environmentExposure to geospatial tools, AI pipelines, and industry workflowsEmphasis on learning, experimentation, and professional growth Contact & Location Phone 928-523-8710 Email sce.career@nau.edu Address 2112 S. Huffer Ln Flagstaff, AZ 86011 Career Service Hours | T Tuesday | 10am-12pm & 2-5pm | | --- | --- | | W Wednesday | 10am-12pm | | TH Thursday | 10am-12pm & 2-5pm | | F Friday | 12-2pm | Phone 928-523-8710 Email sce.career@nau.edu Address 2112 S. Huffer Ln Flagstaff, AZ 86011
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