Job details

Synthetic Aperture Radar (SAR) Annotation Specialist

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.

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
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.

Average salary estimate

$82500 / YEARLY (est.)

min

max

$75000K

$90000K

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What You Should Know About Synthetic Aperture Radar (SAR) Annotation Specialist, Figure Eight Federal

Join Figure Eight Federal (F8F) as a Synthetic Aperture Radar (SAR) Annotation Specialist and play a pivotal role in the exciting field of AI training data. Based in Arlington, VA, F8F is at the forefront of providing secure, reliable, and scalable data solutions for the defense and intelligence sectors. You'll work with a talented team dedicated to analyzing and annotating SAR imagery for various applications that drive innovation and enhance operational decision-making. This position is crucial in developing high-quality labeled data for machine learning models and geospatial analysis. We’re looking for someone who has a strong understanding of SAR principles, including radar image interpretation, and can collaborate effectively with geospatial analysts, data scientists, and domain experts. Your main responsibilities will include analyzing and annotating SAR imagery, conducting quality assurance reviews of annotated data, and assisting in the development of automated annotation tools. Furthermore, candidates should have a background in Remote Sensing, Geospatial Science, or a related field, along with experience using geospatial software tools. If you have a keen attention to detail and a passion for technology, then this is the opportunity for you! F8F offers a competitive salary and flexible working arrangements, so you can thrive in a collaborative environment while shaping the future of AI in defense and intelligence.

Frequently Asked Questions (FAQs) for Synthetic Aperture Radar (SAR) Annotation Specialist Role at Figure Eight Federal

What are the responsibilities of a Synthetic Aperture Radar Annotation Specialist at Figure Eight Federal?

As a Synthetic Aperture Radar (SAR) Annotation Specialist at Figure Eight Federal (F8F), you will analyze and annotate SAR imagery for various applications such as object detection, change detection, and feature classification. Your role involves developing standardized annotation guidelines, collaborating with geospatial analysts and data scientists, and conducting quality assurance reviews of annotated data. You’ll also assist in developing automated annotation tools and maintain a database of SAR imagery, ensuring high-quality labeled data for machine learning models.