RF Signals and Data Analyst

📋 Description

• • RF Signals and Data Analyst role at Quartermaster AI focused on leading data labeling and signal characterization efforts for maritime RF datasets, serving as the primary authority on identifying signals of interest in complex environments to support downstream analytics and machine learning initiatives.
• • Day-to-day responsibilities include using advanced tools like GNURadio and inspectrum to identify, classify, and tag diverse signals such as VHF/UHF communications, maritime radar (S-band/X-band), and AIS-dark emitters; developing taxonomies and ground-truth standards for maritime RF databases; advising engineering teams on high-value signals for customers (e.g., illegal fishing fleets or military vessels); collaborating with DSP and ML engineers to validate model outputs and identify edge cases; and analyzing signal patterns, behaviors, and characteristics for specific vessel classes or electronic systems.
• • Quartermaster AI is a technology company specializing in AI-driven solutions for maritime domain awareness, leveraging deep technical expertise in signals intelligence and machine learning to address national security and maritime safety challenges through advanced RF signal analysis and data labeling.
• • In this role, you will develop deep expertise in maritime RF signal behavior, establish industry-leading data labeling standards for defense and security applications, directly influence AI model performance through high-quality ground truth data, and gain hands-on experience applying signals intelligence in real-world operational contexts while working at the intersection of RF analysis and artificial intelligence.