Synthetic Aperture Radar (SAR) Annotation Specialist
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
We 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.
PI274086865
Apply Now
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
We 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.
PI274086865
Apply Now