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Data Labeling Geospatial Jobs (NOW HIRING)

Mission Essential

Geospatial Analyst

Suitland, MD · On-site

... data labeling in support of maritime GEOINT objects. • Develop and maintain desktop procedures, techniques and methodologies related to ONI, Navy and maritime missions. • Assist with training of ...

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All JobsData Labeling Geospatial Jobs

Data Labeling Geospatial information

What are Data Labeling Geospatial jobs?

Data Labeling Geospatial jobs involve annotating and categorizing geospatial data, such as satellite images, aerial photographs, or maps, to make them usable for machine learning models and geographic information systems (GIS). These professionals identify features like roads, buildings, vegetation, or bodies of water and assign labels or classifications to each element. This process helps improve the accuracy of AI systems in applications like mapping, urban planning, disaster response, and autonomous navigation. The job requires attention to detail, familiarity with geospatial software, and sometimes domain-specific knowledge depending on the project.

What are some common challenges faced by Data Labeling Geospatial professionals, and how can they be managed?

Data Labeling Geospatial professionals often encounter challenges such as interpreting complex satellite imagery, ensuring high accuracy in annotations, and dealing with large, diverse datasets. Ambiguities in images and variations in geographical features can make consistent labeling difficult. To manage these challenges, professionals typically rely on established annotation guidelines, collaborative review processes, and regular training to stay updated on best practices. Open communication with GIS analysts and machine learning engineers also helps clarify uncertainties and improve labeling quality.

What are the key skills and qualifications needed to thrive as a Data Labeling Geospatial specialist, and why are they important?

To thrive as a Data Labeling Geospatial specialist, you need a strong understanding of geospatial concepts, attention to detail, and familiarity with mapping or GIS data. Experience with GIS software (such as ArcGIS or QGIS), data annotation tools, and sometimes geospatial data standards or certifications is highly beneficial. Strong analytical thinking, precision, and effective communication are vital soft skills in this role. These competencies ensure accurate data labeling, which is critical for reliable spatial analysis and the success of downstream applications relying on geospatial data.

What is the difference between Data Labeling Geospatial vs Data Annotation Specialist?

AspectData Labeling GeospatialData Annotation Specialist
CredentialsBasic technical skills, GIS knowledge often preferredBasic technical skills, familiarity with annotation tools
Work EnvironmentRemote or on-site, often in GIS or mapping companiesRemote or on-site, in tech or AI companies
Industry UsageMapping, GIS, autonomous vehicles, geospatial analysisAI, machine learning, computer vision projects
Search & Comparison IntentUnderstanding geospatial data tasks vs general annotation roles

Data Labeling Geospatial focuses on annotating geographic and spatial data, often requiring GIS knowledge. Data Annotation Specialists handle various data types for AI training, with less emphasis on geospatial specifics. While both roles involve data labeling, the geospatial role emphasizes geographic accuracy and GIS tools, making it distinct in industry applications and required skills.

Infographic showing various Data Labeling Geospatial job openings in the United States as of June 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution.
Geospatial AI Data Annotator

Geospatial AI Data Annotator

Enabled Intelligence

Falls Church, VA • On-site

$20 - $24/hr

Full-time

Posted 9 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.

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