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Figure Eight Federal (F8F): Leading the Future of AI Training Data Figure Eight Federal (F8F) provides accurate and reliable human annotated datasets that fuel AI and machine learning for some of the world's biggest brands. With more than 25 years of industry knowledge, F8F's technology powers many of the AI interactions we experience every day. Our solutions and expertise empower our clients to achieve their AI goals and make a significant impact in their industry. 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. Key Responsibilities: Analyze and annotate SAR imagery for specific use cases, including but not limited to object detection, change detection, and feature classification
Develop and maintain standardized annotation guidelines and protocols to ensure consistency and accuracy
Collaborate with geospatial analysts, data scientists, and domain experts to refine SAR datasets for model training and evaluation
Conduct quality assurance (QA) reviews of annotated data and provide feedback to improve labeling workflows
Use software tools for data annotation, image segmentation, and feature extraction
Assist in the development of automated or semi-automated annotation tools and processes
Maintain 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 field
Strong understanding of SAR principles, including radar image interpretation and processing
Experience in annotating SAR data or other remote sensing imagery
Proficiency in geospatial software and tools (e.g., QGIS, ArcGIS, ENVI)
Attention to detail with excellent analytical and problem-solving skills
Ability to work independently and as part of a multidisciplinary team
Other duties as assigned
U.S. citizenship Preferred Qualifications: Familiarity with machine learning concepts, particularly in computer vision
Knowledge of programming languages like Python, especially for image processing tasks
Background in applications of SAR imagery, such as disaster management, defense, or environmental monitoring
Familiarity with data annotation tools
Active Security Clearance What We Offer: Competitive salary and benefits package
Opportunities for career growth in the rapidly expanding field of geospatial analytics
Flexible working arrangements (on-site, remote, or hybrid options dependent on customer project)
A collaborative, innovative environment dedicated to leveraging cutting-edge technology
Date Posted: 05 June 2025
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