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Machine Learning Geospatial Jobs in Alabama (NOW HIRING)

Intern - Geospatial AI Fall 2026

Huntsville, AL

$16.50 - $21.50/hr

The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ... Help build and test geospatial work-flows and automation pipelines * Participate in data ...

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ... Help build and test geospatial work-flows and automation pipelines * Participate in data ...

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ... Help build and test geospatial work-flows and automation pipelines * Participate in data ...

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ... Help build and test geospatial work-flows and automation pipelines * Participate in data ...

Intern - Geospatial AI Fall 2026

Huntsville, AL · On-site

$16.50 - $21.50/hr

The internship will provide exposure to remote sensing, spatial analytics, machine learning, and ... Help build and test geospatial work-flows and automation pipelines * Participate in data ...

Win as a Team Job Summary Moultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and ...

Win as a Team Job Summary Moultrie is actively growing its geospatial capabilities across existing Mapbox-based mobile applications, upcoming web experiences, and support for machine learning and ...

... control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence ... Experience with evaluating or developing machine learning solutions. * Knowledge of statistical ...

... control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence ... Experience with evaluating or developing machine learning solutions. * Knowledge of statistical ...

... control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence ... Exposure to machine learning (ML) or statistical data analysis methods. * Strong analytical skills ...

Sr. Data Analyst

Huntsville, AL · On-site

$107K - $195K/yr

... control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence ... Experience with evaluating or developing machine learning solutions. * Knowledge of statistical ...

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Machine Learning Geospatial information

What does a Machine Learning Geospatial professional do?

A Machine Learning Geospatial professional uses machine learning techniques to analyze and interpret geospatial data, such as satellite imagery, maps, and GPS data. Their work involves building and training models to detect patterns, make predictions, and solve spatial problems in fields like agriculture, urban planning, disaster response, and environmental monitoring. These professionals often collaborate with data scientists and GIS (Geographic Information Systems) specialists to extract actionable insights from large and complex geospatial datasets. Their skills are crucial for automating tasks such as image classification, land cover mapping, and object detection in geographic contexts.

What are the key skills and qualifications needed to thrive as a Machine Learning Geospatial professional?

To thrive as a Machine Learning Geospatial specialist, you need a strong background in machine learning, geospatial analysis, programming (Python, R), and a relevant degree in computer science, geography, or a related field. Familiarity with GIS software (e.g., ArcGIS, QGIS), remote sensing tools, and cloud platforms like Google Earth Engine or AWS is typically required. Analytical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualities are crucial for developing accurate geospatial models and delivering actionable insights from complex spatial data.

What are some common challenges faced by Machine Learning Geospatial professionals when integrating spatial data into predictive models?

Machine Learning Geospatial professionals often encounter challenges such as managing large and complex spatial datasets, ensuring data quality and consistency, and handling spatial autocorrelation that can bias model results. Additionally, integrating diverse data sources—like satellite imagery, sensor data, and GIS layers—requires advanced pre-processing and domain knowledge. Collaborating with GIS analysts and domain experts is usually essential to develop robust models that provide actionable insights.

What is the difference between Machine Learning Geospatial vs GIS Analyst?

AspectMachine Learning GeospatialGIS Analyst
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; knowledge of machine learning and geospatial dataBachelor's in Geography, GIS, or related fields; proficiency in GIS software
Work EnvironmentTech companies, data science teams, research institutionsGovernment agencies, urban planning, environmental firms
Industry UsageData-driven geospatial analysis, predictive modeling, AI applicationsMapping, spatial data management, spatial analysis

Machine Learning Geospatial professionals focus on applying machine learning techniques to analyze geospatial data, often working with large datasets and developing predictive models. GIS Analysts primarily handle spatial data management, mapping, and analysis using GIS software. While both roles work with geospatial data, Machine Learning Geospatial roles emphasize data science and AI, whereas GIS Analysts focus on spatial information management and visualization.

What job categories do people searching Machine Learning Geospatial jobs in Alabama look for?

The top searched job categories for Machine Learning Geospatial jobs in Alabama are:

What cities in Alabama are hiring for Machine Learning Geospatial jobs?

Cities in Alabama with the most Machine Learning Geospatial job openings:

Infographic showing various Machine Learning Geospatial job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Temporary. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Intern - Geospatial AI Fall 2026

Huntsville, AL

Full-time, Part-time, Internship

Posted 8 days ago


Job description

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.

#LI-onsite


  • 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

Required:

  • 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

Preferred:

  • 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

Internship Details

  • Hours: Part-time or full-time depending on availability and academic schedule
  • Mentorship: 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 domain
  • Collaborative and inclusive team environment
  • Exposure to geospatial tools, AI pipelines, and industry workflows
  • Emphasis on learning, experimentation, and professional growth

Physical Demands

The physical demands are representative of those that must be met by an employee to successfully perform the essential functions of this job.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.  Work is performed in an office setting.  Hand-eye coordination is necessary to operate a computer, keyboard and mouse.  Use of a telephone headset will allow for virtual communication with team members through Zoom and/or Microsoft Teams.  While performing the duties of this job, the employee is often required to sit for prolonged periods, use hands/fingers to handle, feel or operate objects, tools or controls and reach with hands and arms, speak and hear.  Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.

If you have what it takes to join our growing organization and want to be part of a dedicated team, please apply today. In return, WGI provides a competitive salary and an outstanding work environment. WGI is an Equal Opportunity Employer/Veterans/Disabled.