Synthetic Aperture Radar (Sar) Annotation Specialist

Details of the offer

Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) is the FOCI mitigated arm of Appen (APXYY) focused on the U.S. defense and intelligence sector. As a global leader in the development and optimization of AI training data, F8F sets the standard for innovation in quality, efficiency, and scalability across AI initiatives.
Our technology is utilized by over 6.8 million data specialists skilled in over 235 languages, delivering unparalleled expertise in capturing domain specific knowledge into formats models can train against.  The F8F platform is currently used by over 80% of leading LLM developers.
As the world's largest provider of geospatial human domain monitoring data, F8F processes and analyzes petabits worth of geospatial data to provide enhanced situational awareness around the globe. Through our Hydra AI platform, we handle more than 500 billion events per month across 200 countries and territories, serving over 1 billion active users.
At its core, F8F is dedicated to empowering defense and intelligence agencies with cutting-edge technology to drive the Nation's strategic AI advantage and drive mission impacts. With a proven track record of delivering secure, reliable, and scalable data solutions, F8F remains at the forefront of driving innovation in AI training data.
Learn more about how F8F is shaping the future of AI at F8Federal.com.
We are seeking highly skilled Synthetic Aperture Radar Annotation Specialists to support our team in analyzing and annotating SAR imagery for diverse applications. The ideal candidate will play a key role in ensuring high-quality labeled data for machine learning models, geospatial analysis, and operational decision-making. Candidates must live in the local area; this is not a full-time remote opportunity.
\n Key Responsibilities:Analyze and annotate SAR imagery for specific use cases, including but not limited to object detection, change detection, and feature classificationDevelop and maintain standardized annotation guidelines and protocols to ensure consistency and accuracyCollaborate with geospatial analysts, data scientists, and domain experts to refine SAR datasets for model training and evaluationConduct quality assurance (QA) reviews of annotated data and provide feedback to improve labeling workflowsUse software tools for data annotation, image segmentation, and feature extractionAssist in the development of automated or semi-automated annotation tools and processesMaintain a database of annotated SAR imagery and metadata for easy retrieval and analysis Qualifications:Bachelor's degree in Remote Sensing, Geospatial Science, Computer Science, or a related fieldStrong understanding of SAR principles, including radar image interpretation and processingExperience in annotating SAR data or other remote sensing imageryProficiency in geospatial software and tools (e.g., QGIS, ArcGIS, ENVI)Attention to detail with excellent analytical and problem-solving skillsAbility to work independently and as part of a multidisciplinary teamU.S. citizenship Preferred Qualifications:Familiarity with machine learning concepts, particularly in computer visionKnowledge of programming languages like Python, especially for image processing tasksBackground in applications of SAR imagery, such as disaster management, defense, or environmental monitoringFamiliarity with data annotation toolsActive Security Clearance What We Offer:Competitive salary and benefits packageOpportunities for career growth in the rapidly expanding field of geospatial analyticsFlexible working arrangements (on-site, remote, or hybrid options dependent on customer project)A collaborative, innovative environment dedicated to leveraging cutting-edge technology
\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


Nominal Salary: To be agreed

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