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Data Labeling Geospatial Jobs (NOW HIRING)

GenLogs

Data Scientist

Design and evaluate algorithms for truck re-identification, geospatial clustering, equipment classification, OCR text labeling , anomaly detection, and more * Collaborate with engineering and data ...

ManTech

Senior Data Scientist

Springfield, VA

... labeling and model testing purposes. This may involve converting between file format types or ... geospatial bounds (chipping), orthorectification, or other types of data standardization ...

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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.

Maven Exploitation Specialist/ Imagery Scientist (EO Focused) Expert

BTS Software Solutions

Springfield, VA

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

+++ This opportunity is for an upcoming award expected in July 2026****

BTS Software Solutions is seeking a Maven Exploitation Specialist/ Imagery Scientist (EO Focused) Expert to support Department of Defense IC missions at Springfield, VA.

The Maven Exploitation Specialist/ Imagery Scientist (EO Focused) Expert will provide technical direction and conduct the work necessary to acquire and prepare imagery of the necessary quality, standards, and requirements provided by the Government. Developed solutions should be informed by specific phenomenology limitations and advantages of the sensors and platforms in mind.

Primary Location: Springfield, VA

Secondary Locations: St. Louis, Missouri

Clearance Requirement: TS/SCI, must be willing to take a CI Poly in the future

What You’ll Get to Do:

Job Duties:

  • Integrate emerging sensors and platforms into existing Maven or G going through their experimentation/pre-IOC (Initial Operating Capability) phase prior to final full operational status. With as much available information as possible on the emerging sensor, develop pipelines and relevant data structures to incorporate new sensor source into existing data workflows.
  • Conduct assessment of potential differences between new sensor characteristics and capabilities compared to currently utilized platforms
  • Assess potential differences in metadata, data format, and data structure characteristics in regards to changes to databases, schemas, APis, and other ETL related processes for the ingestion and movement of data when integrating into the existing data operations pipeline
  • Determine how to acquire new data, potential latency associated with acquisition, data formats, and security domains
  • Determine how to pre-process and standardize the data to match existing data standards or to be transformed into a usable state for labeling and model development purposes. This may involve converting between file format types or tiling full-size images into specified sizes or geospatial bounds.
  • Investigate any gaps in the emerging sensor capability that may need to be supplemented by other sources
    Collaborate with SAR Imagery Scientist to provide coincident EO imagery. Provided EO coincident imagery should align with the areas and temporal windows of emerging sensor's collection.
  • Develop and implement mathematical conversion models to transform data labels from multiple imagery types (e.g., PNG, NITF), as well as between orthorectified and non-orthorectified imagery
  • Develop methods to execute tiling and pre-processing of full-size raw imagery into
    specified sizes and data formats (e.g., PNG) while maintaining metadata and data
    integrity
  • Develop and implement mathematical conversion models to transform pre-processed tiles between image types and generate tiles with specified, precise geospatial boundaries. These methods should account for orthorectification and other geospatial aspects to ensure edges of the tile remain geospatially accurate. Generate tiles from full-size image collects that match specific pixel dimensions or geospatial boundaries.
  • • Analyze and assess image quality and sensor metadata to make recommendations and curate imagery acquisition in alignment with Government directed priorities. Experience in NIIRS, information theoretic-based image quality metrics, and sensor metadata describing impacts of geometry on phenomenology
    • Execute day-to-day management of all imagery curation, acquisition, and pre-processing of imagery, such as image tiling, generation of pre-labels (i.e., labels generated from intelligence reporting, machine-derived observation, human observation, or other method that indicates the geospatial location and classification of an object according to a defined ontology used to tip and cue human labelers to an object of interest), and converting between file types in accordance with NGA Maven data strategies
  • Manage daily imagery operations including:

• Curation, acquisition, and pre-processing activities

• Image tiling and file type conversion

• Generation of pre-labels derived from: Intelligence reporting, Machine-derived
observations, Human observations, other methods identifying geospatial location and object classification. Pre-labels must conform to defined ontology standards and serve to tip and cue human labelers to objects of interest.

• Provide EO imagery coincident with any SAR delivered imagery within a specified
geographic and temporal range

  • Provide EO imagery coincident with any SAR delivered imagery within a specified geographic and temporal range

• Identify methods to curate imagery according to Government directed prioritization.
Examples of curation methods include using Natural Language Processing (NLP) to
extract information from Intelligence Reporting, develop automated or semi-automated
machine-based technologies to maximize likelihood of imagery with objects of interest or
connect to intelligence repositories via API 12

Monitor and prioritize data holdings to support data diversity needs defined by the
Government (e.g., different geographic regions, temporal windows, metadata
characteristics, scene characteristics, image sensor platforms)
• Oversee weekly deliveries of processed imagery and conduct ad-hoc deliveries as needed for quick-tum operations support

Education/Experience:

  • 4+ years as an EO expert with understanding of collection, phenomenology, image formation process, and exploitation products.
    • Exhibit experience exploiting the electromagnetic spectrum ( e.g., electro-optical) to determine the occurrence and location of objects of interest
    • Exhibit experience developing, testing, and evaluating new algorithms, processes, methodologies, and products using EO imagery including experience utilizing advanced processing tools (e.g., Python, MATLAB, Google Earth Engine, etc.) to automate scientific processes of EO imagery data to aid analysis.
    • Exhibit experience communicating with a variety of technical and non-technical
    audiences on availability and capabilities ofEO imagery products, methodologies,
    procedures, and algorithms to enhance analysis.
    • Exhibit a deep understanding of the principles of remote sensing and imagery processing and advanced exploitation methods

Desired Skills

  • Exhibit experience applying CV and machine learning (ML) techniques to EO imagery and data to address intelligence problems.

Pay Range: $210,000 to $230,000
The BTS pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Our approach to crafting offers considers various factors to establish an equitable and competitive compensation package. These considerations include, but are not limited to, the extent and intricacy of the role’s responsibilities, the candidate’s educational background, their work experience, and the specific competencies crucial for success in the role.

Company Overview:

BTS Software Solutions is a Service-Disabled Veteran Owned Small Business who are community-focused innovators who transform ideas into technology to serve people. We recognize that innovation is only valuable when applied towards a needed solution. Technology has no value without the hard work to turn ideas into reality. Our roots are in helping save Soldiers’ lives through technology. We bring that ethos to serving our community. We create solutions that touch people's lives - products to communicate, to connect companies with customers, to stay informed, to save lives, and to enhance lives.

We have a small company persona with a large company ethos and capabilities; we create elegant solutions for complex problems that will enrich people’s lives. We offer one of the best benefits packages in the industry: Competitive health benefits package, PTO, 401K matching and vested from day one to name just a few of our benefits and perks.

BTS Software Solutions is an Equal Opportunity Employer (EOE). All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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