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Xcellent Technology

GIS System Administrator

Rolla, MO · On-site +1

$56K - $60K/yr

GIS System Administrator (United States Geological Survey) Geographic Information Systems surround us everyday and it takes a dedicated team behind the scenes to keep those critical systems up and ...

Xcellent Technology

Senior Data Scientist

Sneads Ferry, NC · On-site

$108K - $115K/yr

Developing our employees in a rapidly evolving world or emerging technologies remains a priority for XTS, therefore we are committed to providing employees with tools and opportunities to stay ahead.

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Infographic showing various job openings at Xcellent Technology in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% Physical, and 25% Remote job distribution.

Senior Electro-Optical (EO) Imagery Scientist (TS/SCI)

Springfield, VA • On-site

Xcellent Technology
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$135K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Evaluate and validate AI-enabled GEOINT capabilities against operational imagery datasets to ensure reliable performance in real-world environments.

  • Analyze how environmental effects, collection geometry, sensor limitations, and image quality impact algorithm performance and design validation frameworks.

  • Develop, test, or evaluate analytic methodologies and workflows to support AI performance assessment and establish measurable performance standards.

Job description

Artificial intelligence is rapidly changing how GEOINT is collected, analyzed, and operationalized. But before AI can support mission-critical decisions, it must be tested, validated, and trusted under real operational conditions.
This is a special opportunity to join us as an Electro-Optical (EO) Imagery Scientist to support the National Geospatial-Intelligence Agency's (NGA) Assurance and Governance Office (QA) Accreditation of AI Models (AGAIM) program. Looked upon your expertise to help evaluate and validate AI-enabled GEOINT capabilities against operational imagery datasets to ensure AI systems perform reliably in the environments where mission success matters most. Working at the intersection of GEOINT tradecraft, remote sensing science, and AI/ML evaluation. You'll analyze how environmental effects collection geometry, sensor limitations, and image quality impact algorithm performance to designing analytic methodologies and validation frameworks that test AI systems beyond ideal conditions. Your expertise in EO phenomenology, collection systems, and image exploitation will directly shape how NGA accredits and operationalizes emerging AI capabilities across the enterprise. If you are ready to apply your expertise and directly influence the future of operational AI within national security, apply today!
Requirements
  • Current active Top Secret / SCI clearance with the willingness to obtain CI poly.
  • You've achieved an accomplishment of a PhD + 10 years / Master's degree + 13 / Bachelor's degree + 15 / Associate's degree + 16 / 18+ years of relevant experience.
  • You've gained deep expertise in EO collection systems, phenomenology, and image formation to properly evaluate AI performance as understanding how imagery is created, how sensors behave, and how environmental conditions affect what an algorithm 'sees'.
  • Strong experience evaluating AI/ML algorithms using operational EO datasets to support in assessing whether an algorithm performs reliably across the variability complexity of real-world GEOINT collection.
  • Experience exploiting EO imagery to determine occurrence and location of objects of interest (OOIs), in order to evaluate whether AI outputs are analytically meaningful.
  • Experience developing, testing, or evaluating analytic methodologies or algorithms to support methodology design, testing framework, and measurable performance standards.
  • Proficiency with Python, MATLAB, and/or Google Earth Engine as you will be handling large operational datasets, testing analytic workflows, and assessing model outputs.
  • Deep understanding of remote sensing principles and GEOINT tradecraft.
  • Experience applying image quality metrics and assessing environmental or sensor impacts in order to understand how haze, shadows, off-nadir angle, weather, compression, or sensor limitations affect algorithm confidence and reliability.

Desired
  • Experience with computer vision and machine learning applied to EO imagery

If you are passionate in helping define how NGA evaluates AI performance, establishes operational confidence, and ensures AI-enabled GEOINT capabilities are mission ready before they reach the analysts or the battlefield, send your resume directly to Lanchi Lai, ([email protected]).
At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this innovative field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.
Salary Range: $135,000-$145,000/annually, with final compensation determined based on experience, qualifications, and alignment with the requirements of role.

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