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 ...