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Data Labeling Geospatial Jobs (NOW HIRING)

... or geospatial data * Experience designing, testing, validating, or evaluating AI/ML systems ... Knowledge of information retrieval, embeddings, vector databases, semantic search, data labeling ...

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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.

Exploitation Specialist/Data Scientist- Senior

GRVTY

Falls Church, VA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data scientist experience processing and analyzing large datasets, who will use their technical knowledge, experience, and customer-centric focus to create and deliver world-class analytic processes, scripting solutions, and data modeling content. This is a mission-driven opportunity to support the DoD and Intelligence Community.   The Data Scientist will coordinate with our clients to understand questions and issues involving the client's datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

What You'll be Owning

  • Data Architecture & ETL Pipeline Construction
    • Design and implement robust database tables and schemas tailored for novel sensor data.
    • Build end-to-end Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines.
    • Establish automated data health monitoring, validation checks, and system alerts to detect pipeline anomalies.
  • API Integration & Cross-Platform Interoperability
    • Develop secure, scalable workflows to automate API-based data movement across disparate data platforms.
    • Ensure full alignment with government-mandated data governance protocols, standardized schemas, and transmission formats.
  • Impact Analysis & System Integration
    • Conduct technical impact assessments on how novel data metadata, structures, and formats interact with existing production pipelines.
    • Identify potential bottlenecks or system regressions when modifying active databases, schemas, or ingestion endpoints.
  • Geospatial & Imagery Pre-processing
    • Standardize and format raw sensor data to make it immediately viable for downstream data labeling and machine learning model testing.
    • Perform complex geospatial manipulations, including converting file format types, orthorectification, and chipping (tiling large imagery into specific pixel sizes or geospatial bounds).

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • 4+ years of experience working with SQL or NoSQL databases and cloud architectures
  • Experience leveraging APIs to query systems and migrate data
  • Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
  • Experience with programming languages such as Python, JavaScript, or Java
  • Experience developing and sustaining operational data pipelines supporting multiple data formats and interfaces.

What Would be Nice to Have

  • Experience working with NGA IT enterprise solutions , Government Authority to Operate (ATO) processes, and Government Non-Person Entity (NPE) certificates
  • Experience implementing processes, standards, and tools within an organization based on the Scaled Agile Framework for Enterprise.
  • Experience developing dynamic visualizations to monitor availability, currency and volumetrics of operational data pipelines

Why Choose GRVTY


The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement


GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.