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Geospatial Ai Jobs in Silver Spring, MD (NOW HIRING)

Vantor

Applied Geospatial ML Engineer

Herndon, VA · On-site

They are seeking an experienced AI/ML engineer to work across the full analytical workflow--from ... geospatial analytics, signal processing, and computer vision) • Design, implement, and assess ...

Maxar

Applied Geospatial ML Engineer

Herndon, VA

Do you like working with geospatial intelligence (GEOINT) data? If so, you'll love working with us ... We're seeking an experienced AI/ML engineer to work across the full analytical workflow-from data ...

Vantor

Applied AI Scientist

Herndon, VA · On-site

The Applied AI Scientist will design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Responsibilities ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data operations - developing skills in quantitative analysis, spatial statistics, and ML-informed imagery ...

Geo Owl

Geospatial Analyst

Springfield, VA · On-site

Your Growth You'll expand your geospatial tradecraft into applied data science and AI/ML data operations -- developing skills in quantitative analysis, spatial statistics, and ML-informed imagery ...

Maxar

Geospatial Platform Engineer

Mclean, VA · On-site

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission ...

Vantor

Geospatial Platform Engineer

Mclean, VA · On-site

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission ...

Maxar

Applied AI Scientist

Herndon, VA

$146K - $244K/yr

Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. * Build andoperate end-to-end AI/ML pipelines ...

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All JobsGeospatial Ai JobsGeospatial Ai Jobs in Silver Spring, MD

Geospatial Ai information

See Silver Spring, MD salary details

$64.6K

$80K

$95.6K

How much do geospatial ai jobs pay per year?

As of Jul 23, 2026, the average yearly pay for geospatial ai in Silver Spring, MD is $79,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,900.00 and $84,800.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior data scientist, AI research director, or machine learning executive, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve overseeing complex projects, developing innovative algorithms, and utilizing tools like Python, TensorFlow, or cloud platforms, with compensation reflecting the expertise and impact of the role.

What are the key skills and qualifications needed to thrive as a Geospatial AI Specialist, and why are they important?

To thrive as a Geospatial AI Specialist, you need a strong background in geospatial analysis, machine learning, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Familiarity with GIS platforms (such as ArcGIS or QGIS), remote sensing software, and AI/ML frameworks like TensorFlow or PyTorch is essential. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These competencies are crucial to develop innovative geospatial solutions that drive decision-making across sectors like urban planning, environmental monitoring, and logistics.

What is the difference between Geospatial Ai vs GIS Analyst?

AspectGeospatial AiGIS Analyst
Required CredentialsDegree in GIS, Computer Science, or related; experience with AI/ML toolsDegree in Geography, GIS, or related; proficiency in GIS software
Work EnvironmentTech-focused, data science teams, field data collectionOffice-based, mapping, spatial data analysis
Industry UsageTech companies, AI-driven mapping, autonomous systemsGovernment, urban planning, environmental management
Search & Comparison IntentFocus on AI applications in geospatial dataFocus on traditional spatial data analysis

Geospatial Ai combines artificial intelligence techniques with geospatial data analysis, often involving machine learning and data modeling. GIS Analysts primarily focus on mapping, spatial data management, and traditional geographic information systems. While both roles work with spatial data, Geospatial Ai emphasizes AI-driven insights, whereas GIS Analysts concentrate on spatial data visualization and analysis using GIS software.

Will GIS jobs be taken by AI?

GIS jobs involve analyzing spatial data, and AI tools are increasingly used to automate data processing and mapping tasks. However, GIS professionals are needed for data interpretation, decision-making, and managing complex projects that require human expertise. AI complements GIS work but is unlikely to fully replace skilled GIS specialists in the near future.

What is geospatial AI?

Geospatial AI involves using artificial intelligence techniques to analyze and interpret geographic data, such as satellite imagery, maps, and spatial datasets. It is commonly used in fields like urban planning, environmental monitoring, and disaster response, often requiring skills in machine learning, GIS tools, and data analysis. Professionals in this area develop models to extract insights from spatial information to support decision-making.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data using tools like GIS and remote sensing. It offers opportunities in government, defense, and private sectors, often requiring technical skills and security clearances. The career can be stable and well-paying for those with relevant expertise and certifications.

How do Geospatial AI professionals typically collaborate with other teams to deliver actionable insights?

Geospatial AI professionals often work closely with data scientists, GIS analysts, software engineers, and domain experts to develop, validate, and deploy spatial models. Collaboration usually involves integrating spatial data with machine learning algorithms, ensuring data quality, and tailoring outputs to meet the needs of end users such as urban planners or environmental scientists. Regular meetings, shared project management tools, and cross-functional workshops are common, fostering a collaborative environment that accelerates problem-solving and innovation.
What are popular job titles related to Geospatial Ai jobs in Silver Spring, MD? For Geospatial Ai jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Geospatial Ai jobs in Silver Spring, MD look for? The top searched job categories for Geospatial Ai jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Geospatial Ai jobs? Cities near Silver Spring, MD with the most Geospatial Ai job openings:
Geospatial Ai jobs near you
Infographic showing various Geospatial Ai job openings in Silver Spring, MD as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution, with an average salary of $79,968 per year, or $38.4 per hour.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Posted 7 days ago

Job description

Geospatial AI Data Annotator
About Enabled Intelligence, Inc.
Enabled Intelligence, Inc. provides extremely accurate, precise and secure data labeling and AI solutions to help our government and commercial customers effectively deploy reliable and unbiased artificial intelligence technologies. We leverage the unique talents of veterans, people with different abilities, and subject matter experts to unlock the value of data to improve the delivery of public services and mission critical national security programs. Every Enabled solution starts with a team of highly-trained, US based data analysts that have both subject-matter expertise as well as a deep understanding of the best techniques and tools for AI data annotation, model development, and testing and evaluation.
At EI we respect and celebrate individuals from all walks of life. Our different backgrounds, cultures, experiences, and way of thinking make us stronger together and result in the most accurate and reliable AI solutions for our clients. We are extremely committed to a culture and environment where excellence can be achieved!
Geospatial AI Data Annotator
Data annotation is an essential component in training artificial intelligence/machine learning (AI/ML) algorithms. As a member of the Enabled Intelligence annotation team, you will help us collect and annotate unclassified, sensitive, and classified data for AI/ML technologies. We are looking for detail-oriented individuals who will collaborate with our team, label large amounts of data, and provide feedback to our data scientists and engineers to create high-quality labeled data sets. Joining our team means playing an integral role for the future of government AI/ML capabilities.
Responsibilities
  • Use advanced analytic tools to locate, label, tag and categorize various elements in large datasets
  • Interact with data science and data engineering teams to design new features for more efficient labeling techniques
  • Gain an in-depth knowledge of using both commercial and custom annotation software tools
  • Keep project manager informed of platform enhancement ideas, risks, and issues

Required Qualifications and Skills
  • Eligibility to obtain a Top Secret- SCI security clearance
  • US Citizenship Required
  • Ability to follow directions and meet deadlines
  • Ability to communicate reliably
  • Ability to learn and retain new information and apply it to a variety of projects
  • Ability to be a good team player and work with individuals with different communication, learning and working styles.
  • Ability to work independently including managing your schedule, attending all required meetings and completing projects within a deadline
  • Ability to understand and apply guidelines for data annotation
  • Ability to perform repetitive tasks while paying constant close attention to detail and delivery accurate and precise work
  • Ability to keep information confidential
  • Ability to work out of the Enabled Intelligence office located in Falls Church, VA Monday-Friday during normal business hours

Desired Qualifications and Skills
  • Previous experience working in a professional, office environment
  • Previous experience in an IT based position
  • Education background in information technology or technical field
  • Previous experience with data labeling or image annotation including analyzing 2D and 3D images, video, audio files, or unstructured text (EO, IR, SAR, FMV)
  • Prior experience with business productivity tools like Microsoft Office, and/or Slack
  • Highschool Degree

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer

Background Check & Security Clearance
  • Applicants selected will be subject to background investigation. Applicants must be eligible to receive a US security clearance at the secret level or higher which requires US Citizenship.

Apply