Figure Eight Federal LLC
Arlington, Virginia
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. As the Delivery Engineer, you will support the design and delivery of labeled datasets in support of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models. You will work with cross-functional teams within Figure 8 Federal (F8F), and the customer, regarding labeling assignments to design and implement solutions in the F8F platform for image processing and classification, which may include the application of existing ML models, data engineering, etc. You will need to synthesize requirements from customer task orders and identify solutions. Key Responsibilities : • Design, build, and implement custom solutions to process large amounts of data through the F8F Platform and custom scripts • Provide technical recommendations as a "trusted advisor" to internal and external stakeholders with a "customer first" mentality • Collaborate closely with Product and Engineering teams to influence product roadmap based on customer requirements • Demonstrate strong communication and interpersonal skills • Manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic environment • Other duties as assigned by manager Responsibilities: Design, build and implement custom solutions to process large amounts of data through the Figure Eight Federal Platform and customer scripts Provide technical recommendations as a "trusted advisor" to internal and external stakeholders with a "customer first" mentality Collaborate closely with Product and Engineering teams to influence product roadmap based on market/customer requirements Demonstrate strong communication and interpersonal skills Manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic environment Required Qualifications: US Citizenship BS in Data Science/Analytics, Computer Science or similar technical field 4+ years in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with geospatial and/or remote sensing data processing and AI-driven mapping technologies Familiarity with cloud environments (AWS, Azure, C2E, etc) AWS Cloud Practitioner, Azure Fundamentals, or other appropriate certification(s)
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. As the Delivery Engineer, you will support the design and delivery of labeled datasets in support of Artificial Intelligence/Machine Learning (AI/ML) algorithms and models. You will work with cross-functional teams within Figure 8 Federal (F8F), and the customer, regarding labeling assignments to design and implement solutions in the F8F platform for image processing and classification, which may include the application of existing ML models, data engineering, etc. You will need to synthesize requirements from customer task orders and identify solutions. Key Responsibilities : • Design, build, and implement custom solutions to process large amounts of data through the F8F Platform and custom scripts • Provide technical recommendations as a "trusted advisor" to internal and external stakeholders with a "customer first" mentality • Collaborate closely with Product and Engineering teams to influence product roadmap based on customer requirements • Demonstrate strong communication and interpersonal skills • Manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic environment • Other duties as assigned by manager Responsibilities: Design, build and implement custom solutions to process large amounts of data through the Figure Eight Federal Platform and customer scripts Provide technical recommendations as a "trusted advisor" to internal and external stakeholders with a "customer first" mentality Collaborate closely with Product and Engineering teams to influence product roadmap based on market/customer requirements Demonstrate strong communication and interpersonal skills Manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic environment Required Qualifications: US Citizenship BS in Data Science/Analytics, Computer Science or similar technical field 4+ years in software or data configuration and/or data engineering 2+ years' experience programming with JavaScript, Python and HTML/CSS/XML High attention to detail and strong pattern recognition skills Ability to interpret and follow complex tasking instructions and apply them consistently Active Secret clearance Desired Qualifications: Active Top-Secret clearance with SCI eligibility Experience with geospatial and/or remote sensing data processing and AI-driven mapping technologies Familiarity with cloud environments (AWS, Azure, C2E, etc) AWS Cloud Practitioner, Azure Fundamentals, or other appropriate certification(s)
Figure Eight Federal LLC
Saint Louis, Missouri
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. As a Geospatial Data Manager for our AI Data Labeling operation, you will serve as the central architect for managing data logistics that fuel AI/ML training, integrating inputs from field collection, annotation pods, and review pipelines, and delivering final outputs to classified and unclassified customer environments. Responsibilities : • Design, build, and/or maintain scalable data pipelines to support continuous ingest and delivery of large-scale, labeled geospatial datasets. • Automate secure transfer and synchronization of data between unclassified and classified domains in compliance with security protocols. • Coordinate with Delivery Engineers, annotation teams, and human-in-the-loop reviewers to ensure timely data handoffs and minimal bottlenecks. • Work closely with the Design and Delivery Lead and Site Leads to align data operations with mission priorities. • Collaborate with labeling pod leads, quality engineers, and government points of contact to define delivery schedules, formats, and metrics. • Prepare regular reports detailing data pipeline performance, backlogs, and quality metrics. • Other duties as assigned Required Qualifications: Bachelor's degree in Geospatial Information Systems (GIS), Computer Science, Data Engineering, or a related field. 5+ years of experience in data pipeline development, preferably involving geospatial data. Proven experience supporting secure data environments and cross-domain data transfer. Strong command of Python and familiarity with geospatial data libraries (e.g., GDAL, rasterio, geopandas). Excellent organizational and communication skills with a track record of collaboration across technical and non-technical teams. US Citizenship Active Secret clearance with eligibility for TS Desired Qualifications: Fully adjudicated and active TS with SCI eligibility Familiarity with Federal Government data formats and annotation workflows. Experience with MLOps or AI/ML data preparation at scale. Hands-on knowledge of cross-domain tools and secure enclave operations.
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. As a Geospatial Data Manager for our AI Data Labeling operation, you will serve as the central architect for managing data logistics that fuel AI/ML training, integrating inputs from field collection, annotation pods, and review pipelines, and delivering final outputs to classified and unclassified customer environments. Responsibilities : • Design, build, and/or maintain scalable data pipelines to support continuous ingest and delivery of large-scale, labeled geospatial datasets. • Automate secure transfer and synchronization of data between unclassified and classified domains in compliance with security protocols. • Coordinate with Delivery Engineers, annotation teams, and human-in-the-loop reviewers to ensure timely data handoffs and minimal bottlenecks. • Work closely with the Design and Delivery Lead and Site Leads to align data operations with mission priorities. • Collaborate with labeling pod leads, quality engineers, and government points of contact to define delivery schedules, formats, and metrics. • Prepare regular reports detailing data pipeline performance, backlogs, and quality metrics. • Other duties as assigned Required Qualifications: Bachelor's degree in Geospatial Information Systems (GIS), Computer Science, Data Engineering, or a related field. 5+ years of experience in data pipeline development, preferably involving geospatial data. Proven experience supporting secure data environments and cross-domain data transfer. Strong command of Python and familiarity with geospatial data libraries (e.g., GDAL, rasterio, geopandas). Excellent organizational and communication skills with a track record of collaboration across technical and non-technical teams. US Citizenship Active Secret clearance with eligibility for TS Desired Qualifications: Fully adjudicated and active TS with SCI eligibility Familiarity with Federal Government data formats and annotation workflows. Experience with MLOps or AI/ML data preparation at scale. Hands-on knowledge of cross-domain tools and secure enclave operations.
Figure Eight Federal LLC
Saint Louis, Missouri
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 an exceptional Operations Manager who will oversee the workflows and production of annotations and labels for Electro-Optical (EO) and Synthetic Aperture Radar (SAR) imagery, as well as video, within a controlled environment. Ensures efficiency, accuracy, and scalability of annotations and label datasets using geographic information sciences. The manager will implement strategic initiatives to optimize workflows, maintain quality standards, and drive continuous improvement in annotation processes. In charge of leading a large team responsible for EO/SAR annotations and labeling with a strong blend of skills and knowledge areas to ensure efficiency, quality, and workforce motivation. Approaches to streamline processes can be strategic but a need for tactical decisions with efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and tiered reviewers. Drives operational excellence in annotation job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military geospatial analysis / engineering can be substituted for a Bachelor's degree. 5+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Demonstrated proficiency in working with EO/IR and SAR imagery types. Demonstrated success leading large-scale production teams and managing operational delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or 20+ years military geospatial analysis / engineering can be substituted for a bachelor's degree. 10+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Familiarity with AI-assisted annotation tools and machine learning applications. Experience working with geospatial data and remote sensing technologies. Knowledge of industry-specific compliance and security protocols. Prior experience delivering government contracts, especially for NGA or IC/DoD missions. Proven ability to lead organizational scaling efforts under dynamic mission conditions. Familiarity with human-in-the-loop (HITL) systems, annotation platforms, and quality review pipelines. Knowledge of satellite imagery analysis. Proficiency in remote sensing techniques and image classification. Familiarity with Python, R, MATLAB and libraries like TensorFlow, PyTorch, OpenCV. Familiarity with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based applications. Knowledge of satellite imagery analysis and deep learning models. Possess a Top-Secret /SCI clearance. Key Responsibilities: Oversee daily operations of seven pods (a.k.a. annotation teams), ensuring optimal performance and output. Manage and mentor data labelers, providing training and performance feedback. Monitor quality assurance processes with automated and manual quality checks to maintain high annotation accuracy. Optimize workflows to improve turnaround time and reduce errors with software tools to streamline annotation processes and improve efficiency. Coordinate with data scientists and engineers to refine annotation guidelines. Implement tools and technologies to streamline annotation processes. Maintain documentation and reporting for operational efficiency tracking. Leadership in object detection, segmentation, and classification to guide annotation teams. Experience of AI/ML workflows, including how labeled data is used to train models. Lead, coach, and manage a multidisciplinary team, fostering high morale and a culture of operational excellence. Monitor throughput, labor utilization, and resource allocation to ensure timely and cost-effective dataset production. Handling large-scale datasets, ensuring proper storage, retrieval, and security. Serve as the secondary liaison with customers, incorporating feedback to adapt and enhance annotation workflows and delivery plans. Track and report on key performance indicators, including cost-per-label, time-to-production, and annotation accuracy. Contribute to solutioning, capture, and business development activities that expand and evolve the data annotation mission. Strategic Responsibilities: Vision & AI Strategy Development Leadership & Team Management AI Model Deployment & Optimization Compliance & Risk Management Research & Industry Contributions Knowledge Areas: Computer Vision Data labeling and attribution Production and delivery processes Industry regulations and compliance Workforce engagement and labor laws Cost control and financial management Quality assurance and Six Sigma methodologies Office and facility management Compliance with OSHA reporting requirements for workplace injuries and incidents Demand forecasting and supply chain logistics
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 an exceptional Operations Manager who will oversee the workflows and production of annotations and labels for Electro-Optical (EO) and Synthetic Aperture Radar (SAR) imagery, as well as video, within a controlled environment. Ensures efficiency, accuracy, and scalability of annotations and label datasets using geographic information sciences. The manager will implement strategic initiatives to optimize workflows, maintain quality standards, and drive continuous improvement in annotation processes. In charge of leading a large team responsible for EO/SAR annotations and labeling with a strong blend of skills and knowledge areas to ensure efficiency, quality, and workforce motivation. Approaches to streamline processes can be strategic but a need for tactical decisions with efforts to reduce errors, and optimize team performance, will require having critical skills and knowledge. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications. Supervises between 100-130 data annotation specialists , coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and tiered reviewers. Drives operational excellence in annotation job design , production management , quality control , and dataset delivery , while ensuring continuous alignment with customer goals and national security priorities. Required Qualifications: Bachelor's degree in geographic information science, computer vision, remote sensing, computer science or related fields. An associate's degree with a relevant GIS certification or 10+ years military imagery intelligence or 10+ years military geospatial analysis / engineering can be substituted for a Bachelor's degree. 5+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Demonstrated proficiency in working with EO/IR and SAR imagery types. Demonstrated success leading large-scale production teams and managing operational delivery within a technical or data-intensive environment. Experience with common geospatial software platforms (i.e. QGIS, ESRI ArcGIS, ENVI, ERDAS). Strong analytical skills and attention to detail for pattern recognition in geographic data, products, and services. Knowledge of cloud computing services (AWS, Azure, Google Cloud) for scalable deployment. MUST be a US Citizen. MUST possess a Secret clearance with eligibility for TS/SCI Desired Qualifications: Masters's degree in geographic information science, computer vision, remote sensing, computer science or related fields. A bachelor's degree with a relevant GIS or GEOINT Professional certification or 20+ years military imagery intelligence or 20+ years military geospatial analysis / engineering can be substituted for a bachelor's degree. 10+ years of experience in geospatial analysis with specific expertise in satellite imagery interpretation. Familiarity with AI-assisted annotation tools and machine learning applications. Experience working with geospatial data and remote sensing technologies. Knowledge of industry-specific compliance and security protocols. Prior experience delivering government contracts, especially for NGA or IC/DoD missions. Proven ability to lead organizational scaling efforts under dynamic mission conditions. Familiarity with human-in-the-loop (HITL) systems, annotation platforms, and quality review pipelines. Knowledge of satellite imagery analysis. Proficiency in remote sensing techniques and image classification. Familiarity with Python, R, MATLAB and libraries like TensorFlow, PyTorch, OpenCV. Familiarity with Convolutional Neural Networks (CNN)s, object detection, segmentation, and classification models. Familiarity with REST APIs and integrating models into web-based applications. Knowledge of satellite imagery analysis and deep learning models. Possess a Top-Secret /SCI clearance. Key Responsibilities: Oversee daily operations of seven pods (a.k.a. annotation teams), ensuring optimal performance and output. Manage and mentor data labelers, providing training and performance feedback. Monitor quality assurance processes with automated and manual quality checks to maintain high annotation accuracy. Optimize workflows to improve turnaround time and reduce errors with software tools to streamline annotation processes and improve efficiency. Coordinate with data scientists and engineers to refine annotation guidelines. Implement tools and technologies to streamline annotation processes. Maintain documentation and reporting for operational efficiency tracking. Leadership in object detection, segmentation, and classification to guide annotation teams. Experience of AI/ML workflows, including how labeled data is used to train models. Lead, coach, and manage a multidisciplinary team, fostering high morale and a culture of operational excellence. Monitor throughput, labor utilization, and resource allocation to ensure timely and cost-effective dataset production. Handling large-scale datasets, ensuring proper storage, retrieval, and security. Serve as the secondary liaison with customers, incorporating feedback to adapt and enhance annotation workflows and delivery plans. Track and report on key performance indicators, including cost-per-label, time-to-production, and annotation accuracy. Contribute to solutioning, capture, and business development activities that expand and evolve the data annotation mission. Strategic Responsibilities: Vision & AI Strategy Development Leadership & Team Management AI Model Deployment & Optimization Compliance & Risk Management Research & Industry Contributions Knowledge Areas: Computer Vision Data labeling and attribution Production and delivery processes Industry regulations and compliance Workforce engagement and labor laws Cost control and financial management Quality assurance and Six Sigma methodologies Office and facility management Compliance with OSHA reporting requirements for workplace injuries and incidents Demand forecasting and supply chain logistics