Geo Owl · SDVOSB · Est. 2013
Expert EO Imagery Scientist (Lead)NGA AGAIM PROGRAM · ELECTRO-OPTICAL · GEOINT · EXPERT LEVEL · KEY POSITION
Every AI model that NGA deploys for computer vision missions must be independently accredited against real operational imagery before it goes into use. As the Expert EO Imagery Scientist and modality lead on AGAIM, you are the person who ensures the electro-optical side of that pipeline has the right imagery — identified, assessed, and prepared with the precision that rigorous AI testing demands. You will lead the EO team and set the technical standard for image identification, sensor assessment, and data preparation that supports one of the most consequential oversight programs in the intelligence community.
As the EO Lead, you are AGAIM's authoritative voice on electro-optical imagery. Working from model cards, data cards, and test procedures provided by the AGAIM government team, you'll determine what EO imagery is required for Level 3 AI accreditation testing — by modality, geography, resolution, and collection geometry — and direct the work to identify, assess, and pre-process it. You'll lead the EO team, collaborate closely with the SAR lead to ensure coincident coverage, and interface with the government customer on all EO-related technical requirements. This is a SCIF-based role performed at a contractor facility.
Source-Derived Role Summary
The Imagery Scientist is the subject matter expert on their respective imagery modality (e.g., Electro-Optical). They shall 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.
- ✓Review model cards and test documentation from AGAIM; assess what EO imagery — by modality, geographic area, resolution, and look angle — is required to support Level 3 testing for each model
- ✓Assess emerging EO sensors: evaluate differences in collection characteristics, phenomenology, metadata formats, and schema changes compared to currently utilized platforms
- ✓Define pre-processing requirements: file format conversions (e.g., PNG, NITF), tiling to specified dimensions or geospatial bounds, and ETL adaptations needed for new sensor integration
- ✓Coordinate with the SAR Imagery Scientist Lead to provide coincident EO imagery aligned with SAR collection areas and temporal windows
- ✓Perform imagery forecasting: anticipate upcoming accreditation testing needs by monitoring the incoming model pipeline and relevant world operational developments
- ✓Lead and technically mentor the EO team; be available during NGA core hours (10am–2pm EST) for government meetings and technical direction
Mission Impact
AGAIM is mandated to accredit GEOINT AI models — including those supporting multiple NGA computer vision and imagery programs, and the Hyperspectral office — for robustness against adversarial tactics. The EO imagery you identify and prepare is the operational test bed that determines whether those models clear accreditation and can be trusted in the field.
Geo Owl Impact
As EO Lead and a Key Position on this program, your technical performance anchors Geo Owl's credibility on AGAIM and directly supports our ability to grow and perform within the contract.
Your Growth
You'll develop expertise at the intersection of EO science, AI/ML model testing, and national security governance — a narrow domain where few practitioners operate. Experience leading EO imagery support for a government AI accreditation program is a high-value and genuinely rare career credential.
- ▸At the direction of the AGAIM government team, identify and acquire priority EO imagery necessary to conduct Level 3 AI model accreditation testing
- ▸Conduct assessments of new and emerging EO sensor characteristics, capabilities, metadata, and data format differences compared to currently utilized platforms
- ▸Determine acquisition pathways, latency factors, data formats, and security domain requirements for new EO data sources
- ▸Define pre-processing and standardization requirements to transform EO data into states usable for labeling and model testing — file format conversion, tiling to pixel dimensions or geospatial boundaries
- ▸Investigate sensor capability gaps and identify supplemental or coincident imagery sources; collaborate with SAR lead to provide EO imagery aligned with SAR temporal and geographic collection windows
- ▸Perform imagery forecasting to anticipate future accreditation needs based on upcoming models and world operational developments
- ▸Develop, test, and evaluate new EO algorithms and methodologies using advanced processing tools to advance AGAIM's accreditation capabilities
- ✓Active TS/SCI clearance with eligibility for SI/TK/G/HCS/NATO access; CI polygraph required or willingness to obtain
- ✓Minimum 18 experience points required (see experience point calculation below)
- ✓4+ years as an EO expert with deep understanding of collection, phenomenology, image formation process, and exploitation products
- ✓Experience exploiting the electromagnetic spectrum (electro-optical) to determine the occurrence and location of objects of interest
- ✓Experience developing, testing, and evaluating algorithms and processes using EO imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar advanced processing tools
- ✓Experience communicating EO imagery capabilities, methodologies, and products to both technical and non-technical audiences
- ✓Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods
Preferred Qualifications
- ▸Experience applying computer vision (CV) and machine learning (ML) techniques to EO imagery to address intelligence problems
Experience Point Requirement
This is a Expert-level (Level 5) position requiring a minimum of 18 experience points. Points are calculated as follows:
- Education: Associate's = 2 pts · Bachelor's = 3 pts · Master's = +2 pts · PhD = +3 pts
- Professional / Military Experience: 1 pt per year of relevant experience
- Certifications: 0.5 pts each
- Specialized Training: 0.25 pts per relevant course
- Professional Impact (publications, presentations, patents): up to 3 pts total
- ▸You read a model card and know immediately what EO imagery — by spectral band, resolution, geometry, and scene type — is required to make the accreditation test meaningful
- ▸You lead by technical authority — your team acts on your guidance and the government customer trusts your assessments
- ▸You think ahead — you know what models are coming and you position EO imagery resources before the requirement lands in your inbox
- ▸You collaborate naturally — you and the SAR lead operate as a coordinated team, not parallel workflows
- ▸You are precise about data quality — you understand that imagery that fails the accreditation standard wastes testing cycles and you prevent it at the source
✔ Great Fit
You are a senior EO imagery scientist who wants to lead at the technical frontier of AI model governance. You're energized by the challenge of translating model requirements into imagery specifications, assessing new sensors under operational conditions, and driving the accreditation pipeline with technical rigor in a SCIF environment.
✘ May Not Be For You
This may not be the right fit if you prefer individual contributor or finished intelligence work without program leadership responsibility, or if working from a certified contractor SCIF rather than remotely from home is not compatible with your situation.
This role positions you at the intersection of EO imagery science and AI model governance — an area with growing demand as NGA and the broader intelligence community scale their computer vision programs. You'll build expertise in accreditation methodology, multi-program imagery assessment, pre-IOC sensor integration, and cross-modality imagery operations. For a senior EO scientist who wants to stay technically sharp while expanding into a program leadership and government advisory role, this is a distinguishing career move.
Skills Required
- Active TS/SCI clearance with eligibility for SI/TK/G/HCS/NATO access; CI polygraph required or willingness to obtain
- Minimum 18 experience points as defined by the posting
- 4+ years as an EO expert with deep understanding of collection, phenomenology, image formation, and exploitation products
- Experience exploiting the electromagnetic spectrum (electro-optical) to determine occurrence and location of objects of interest
- Experience developing, testing, and evaluating algorithms and processes using EO imagery; proficiency with Python, MATLAB, Google Earth Engine, or similar tools
- Experience communicating EO imagery capabilities, methodologies, and products to technical and non-technical audiences
- Deep understanding of remote sensing principles, imagery processing, and advanced exploitation methods
- Experience applying computer vision and machine learning techniques to EO imagery
What We Do
GEO OWL is the result of an absolute obsession to create the most effective and innovative partner possible for your mission. From the beginning, we’ve been dedicated to innovation, vitalized by an engaged team of professionals that always seek to elevate your project to the next level. We believe you need a partner that will provide maximum support in the most efficient ways possible and provide the utmost consideration to every detail of your mission. Geo Owl doesn’t just provide support, we engineer solutions and provide professional leadership that will carry you through your vision and beyond. We’re built on a foundation of belief in our craft. Our team is energetic, methodical and extremely proficient. You will succeed with Geo Owl by your side. Geo Owl is a Service-Disabled Veteran-Owned Small Business
