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Figure Eight Federal LLC
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  • F

    DevSecOps Engineer (TS clearance) with Security Clearance  

    Figure Eight Federal LLC
    - Arlington
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. Implement security practices in software workflows, automate testing, ensure compliance. Skills: Bachelor's degree (additional years of experience may be substituted for experience)
    3-5 years in DevOps or DevSecOps
    Government experience
    CI/CD pipelines
    Cloud security
    Scripting
    Active TS/SCI clearance
    Other duties as assigned Preferred: Education in Computer Science or Cybersecurity
    CISSP, CompTIA Security+, ISSO Read Less
    Apply Now
  • F

    Pre-Sales Solution Architect with Security Clearance  

    Figure Eight Federal LLC
    - Arlington
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. You will be a great fit if you are : • Someone that excels in a fast-paced environment • Interested in being part of a growing business • Looking for a collaborative, tight knit team with opportunities for advancement Responsibilities: Develop business and technical strategies that can help ensure the best chance to win business
    Providing support to prospects' questions about our product, servicing, and other technical aspects of the platform, and responding to RFIs, RFPs, and RFQs
    Demonstrate a breadth of knowledge and technical understanding of Figure 8 Federal products
    Stay up to date on competitors' products, technologies and services
    Develop and maintain strong customer relationships
    Demonstrate technical aspects of the product as a way to solve specific customer problems
    Provide day-to-day product/technical support to sales team
    Other duties as assigned Required Qualifications: Bachelor's degree in business or engineering field
    Experience in Sales Engineering, Solution Architecture or consulting
    Proficiency in MS Office and CRM software (e.g. Salesforce)
    Experience with technical business documentation like workflow diagrams, proposals, RFPs and RFIs, etc.
    Expert in python, HTML and CSS
    Background in data and AI
    Excellent presentation and negotiation skills Value based selling skills
    Experience presenting via the web or in person
    Excellent verbal and written communication skills
    US Citizenship Ability to obtain and maintain a Secret clearance Desired Qualifications: Active Secret Clearance
    Experience interfacing with an Engineering team
    Experience with service management and/or project and portfolio management solution
    Experience with software in a SaaS/Cloud environment Read Less
    Apply Now
  • F

    Data Annotation Specialist - St. Louis with Security Clearance  

    Figure Eight Federal LLC
    - Saint Louis
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. The Data Annotation Specialist (located in St. Louis, MO) is a role involving reviewing data (audio, video, imagery and text) and labeling objects within those datasets according to predefined descriptions. This position plays a large role in developing training data for Artificial Intelligence and Machine Learning capabilities. The specialist will be working in a large group environment where communication is key to completing day to day tasks. You will be a great fit if you are: Self-motivated
    Team-oriented
    Possess a high level of focus and attention to detail Required Qualifications: High school diploma or equivalent
    Highly organized and able to take direction well
    Ability to work independently, cooperatively, and collaboratively as a team member
    Possess excellent oral and written skills, including non-technical writing
    Excellent analytical skills, coupled with a strong sense of ownership, urgency, and drive
    Proficient in Microsoft Office products
    Ability to handle ambiguity and changing priorities
    Other duties as assigned
    US Citizenship Ability to obtain and maintain a Secret security clearance Desired Qualifications: Familiar with CVAT
    Secret or Top Secret clearance
    Associate degree or bachelor's degree
    1+ years of experience in an office environment
    Prior experience in intelligence analysis, GEOINT or some other -INT discipline, specifically imagery analysis Read Less
    Apply Now
  • F

    Product Development Engineer (Secret) with Security Clearance  

    Figure Eight Federal LLC
    - Arlington
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. Design software products for data labeling, manage lifecycle, collaborate with teams. Skills: Bachelor's degree (additional years of experience may be substituted for education)
    5+ years of experience in product development Software development
    Testing
    Secure Development knowledge
    Secret clearance
    Other duties as assigned Preferred: Education in Engineering, Computer Science
    Certified Scrum Product Owner
    Experience working in a secure environment
    TS/SCI eligibility Read Less
    Apply Now
  • F

    Geospatial Data Manager (Secret+) with Security Clearance  

    Figure Eight Federal LLC
    - Saint Louis
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. Read Less
    Apply Now
  • F

    Geospatial Data Scientist / Machine Learning Engineer (TS cleara with Security Clearance  

    Figure Eight Federal LLC
    - Arlington
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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 Geospatial Data Scientist (GDS) to join our team at the cutting edge of data focused geospatial analytics. This role sits at the critical intersection of remote sensing, computer vision, machine learning, and data science. The ideal candidate will possess advanced knowledge of raster-level geospatial data, comprehensive understanding of collection metadata, and expertise in various sensing phenomenologies including Electro-Optical (EO), Infrared (IR), and Synthetic Aperture Radar (SAR). This position is pivotal in bridging the gap between geospatial data expertise and machine learning applications. Responsibilities: Analyze and process complex geospatial datasets from multiple sensing modalities (EO, IR, SAR) Evaluate dataset quality, coverage, and metadata to determine suitability for ML applications Develop and implement innovative data preparation strategies for geospatial machine learning Design and execute validation methods for geospatial data quality assurance Develop automated processes for geospatial data integration and harmonization Generate comprehensive documentation of data characteristics, limitations, and potential biases Stay current with emerging trends and technologies in remote sensing and geospatial data science Provide technical consultation on remote sensing capabilities and limitations for project planning Other duties as assigned Qualifications: Bachelor's degree in Remote Sensing, GIS, Computer Science, Geospatial Science, Data Science, or related field (additional years of experience may be substituted for degree)
    3+ years of experience working with remote sensing data in analytical applications Demonstrable knowledge of EO, IR, and/or SAR sensing phenomenologies and their unique characteristics Strong programming skills in Python or R, with experience using geospatial libraries (e.g., GDAL, GeoPandas) Working knowledge of computer vision techniques applied to satellite/aerial imagery Proficiency with geospatial metadata standards and their importance in analysis Experience evaluating dataset suitability for ML training and deployment Experience with containerization (Docker) and workflow automation for geospatial pipelines Strong ability to visualize data for consumption by both technical and non-technical audiences Active Top Secret security clearance Preferred Qualifications: Master's degree in Remote Sensing, Computer Science, Geospatial Science, Data Science, or related field Experience with machine learning frameworks (TensorFlow, PyTorch) and their application to geospatial data Experience with GIS tools such as QGIS, ArcGIS, etc. Knowledge of deep learning architectures specifically designed for remote sensing data Familiarity with hyperspectral and LiDAR data processing Experience with time-series analysis of satellite imagery Understanding of uncertainty quantification in geospatial data and propagation into ML models Experience with cloud-based geospatial computing (AWS, Google Earth Engine, Microsoft Planetary Computer) Read Less
    Apply Now
  • F

    Data Labeling POD Technical Lead (Secret) with Security Clearance  

    Figure Eight Federal LLC
    - Saint Louis
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. The Labeling Pod Technical Lead represents the highest level of technical labeling expertise on the program. Performs advanced image annotation, complex geospatial feature extraction, and assist in refining labeling schemas for Artificial Intelligence/Machine Learning (AI/ML) readiness. The Pod Technical Lead supports pod-level quality assurance, serves as a mentor to their peers, and contributes directly to mission-critical dataset delivery. Key Responsibilities: • Execute complex and nuanced labeling tasks involving imagery interpretation, feature classification, and semantic segmentation. • Provide real-time peer support and feedback to junior labelers within the pod. • Assist in the validation and accuracy of labeled datasets against quality standards. • Lead quality improvement plans where systemic issues are identified for escalation and corrective action. • Contribute to schema refinement, labeling protocols, and edge case documentation • Collaborate with analysts, QC engineers, and Human-in-the-Loop (HITL) reviewers to improve overall label fidelity. • Execute retraining efforts by annotating training datasets and providing annotation notes or rationales. • Assist with pilot tasking, calibration sessions, or labeling tool evaluations as assigned. • Validate integrity, structure, and completeness of annotated datasets prior to client delivery. • Integrate dynamic sampling strategies based on labeler performance, data complexity, and historical error rates with checklists, rubrics, and guidance documents to support engineers, trainers, and reviewers. • Integrate the customer's quality assurance program tools, ensuring requirements and standards are met. • Integrate workflows, review tiers, and escalation paths for anomaly detection. • Analyze daily and weekly quality metrics for workflow and quality improvement, including error types, frequency, resolution time, and recurrence. • Contribute to internal and customer-facing dashboards to reflect compliance and production health. Interface with trainers to help design upskilling pathways based on quality and product metrics, training, and campaign design • Other duties as assigned Qualifications: Associate's or bachelor's degree in Geospatial Sciences, Information Systems, Data Engineering, or a related field.
    Minimum 3+ years of experience in data labeling, imagery interpretation, or geospatial analysis.
    Experience in data quality assurance and quality checks within a technical, mission-critical, or geospatial operations environment.
    Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
    Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data.
    Strong communication and stakeholder management skills.
    US Citizenship
    Active Secret clearance with eligibility for TS/SCI. Desired Qualifications: Master's degree in Geographic Information Science, Geospatial Information Systems, Data Engineering, AI/ML, or a related field.
    Experience with geospatial operations, data and product processing, and AI-driven mapping technologies.
    Experience in target ontology, identifying man-made and natural features from EO/SAR imagery.
    Understanding of augmented reality (AR) and edge computing Experience with NGA programs, IC data production standards, or government delivery workflows.
    Working knowledge of data validation using Python, R, SQL, or relevant scripting languages.
    Experience with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
    Active Top-Secret clearance with SCI eligibility. Read Less
    Apply Now
  • F

    Data Labeling POD Technical Lead (Secret) with Security Clearance  

    Figure Eight Federal LLC
    - Arlington
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. The Labeling Pod Technical Lead represents the highest level of technical labeling expertise on the program. Performs advanced image annotation, complex geospatial feature extraction, and assist in refining labeling schemas for Artificial Intelligence/Machine Learning (AI/ML) readiness. The Pod Technical Lead supports pod-level quality assurance, serves as a mentor to their peers, and contributes directly to mission-critical dataset delivery. Key Responsibilities: • Execute complex and nuanced labeling tasks involving imagery interpretation, feature classification, and semantic segmentation. • Provide real-time peer support and feedback to junior labelers within the pod. • Assist in the validation and accuracy of labeled datasets against quality standards. • Lead quality improvement plans where systemic issues are identified for escalation and corrective action. • Contribute to schema refinement, labeling protocols, and edge case documentation • Collaborate with analysts, QC engineers, and Human-in-the-Loop (HITL) reviewers to improve overall label fidelity. • Execute retraining efforts by annotating training datasets and providing annotation notes or rationales. • Assist with pilot tasking, calibration sessions, or labeling tool evaluations as assigned. • Validate integrity, structure, and completeness of annotated datasets prior to client delivery. • Integrate dynamic sampling strategies based on labeler performance, data complexity, and historical error rates with checklists, rubrics, and guidance documents to support engineers, trainers, and reviewers. • Integrate the customer's quality assurance program tools, ensuring requirements and standards are met. • Integrate workflows, review tiers, and escalation paths for anomaly detection. • Analyze daily and weekly quality metrics for workflow and quality improvement, including error types, frequency, resolution time, and recurrence. • Contribute to internal and customer-facing dashboards to reflect compliance and production health. Interface with trainers to help design upskilling pathways based on quality and product metrics, training, and campaign design • Other duties as assigned Qualifications: Associate's or bachelor's degree in Geospatial Sciences, Information Systems, Data Engineering, or a related field.
    Minimum 3+ years of experience in data labeling, imagery interpretation, or geospatial analysis.
    Experience in data quality assurance and quality checks within a technical, mission-critical, or geospatial operations environment.
    Familiarity with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
    Proficiency in reviewing labeled imagery, spatial annotation datasets, or structured data.
    Strong communication and stakeholder management skills.
    US Citizenship
    Active Secret clearance with eligibility for TS/SCI. Desired Qualifications: Master's degree in Geographic Information Science, Geospatial Information Systems, Data Engineering, AI/ML, or a related field.
    Experience with geospatial operations, data and product processing, and AI-driven mapping technologies.
    Experience in target ontology, identifying man-made and natural features from EO/SAR imagery.
    Understanding of augmented reality (AR) and edge computing Experience with NGA programs, IC data production standards, or government delivery workflows.
    Working knowledge of data validation using Python, R, SQL, or relevant scripting languages.
    Experience with computer vision frameworks (OpenCV, TensorFlow, PyTorch).
    Active Top-Secret clearance with SCI eligibility. Read Less
    Apply Now
  • F

    Data Labeling POD Supervisor (Secret) with Security Clearance  

    Figure Eight Federal LLC
    - Saint Louis
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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 Labeling Pod Supervisor for our AI Data Labeling operation, you will play a critical role in ensuring the accuracy, efficiency, and quality of our data annotation processes. With a keen eye for detail and a strong background in team leadership, you will oversee a team of data labelers and guide them in delivering high-quality labeled datasets that power machine learning models across a wide range of applications. Key Responsibilities : • Lead, mentor, and manage a multidisciplinary team of 20 individuals performing labeling tasks aligned with mission specifications • Monitor daily performance against productivity and accuracy KPIs using program dashboards and reporting tools • Coordinate with Site Lead, and other Pod Supervisors, to assign tasks, manage shifts, and monitor deadlines • Coordinate with Quality Control Technician to implement corrective actions for quality or timeliness issues, including retraining, coaching, or process adjustments • Serve as the first-line escalation point for technical or operational issues within the labeling pod • Support the onboarding and training of new pod members in collaboration with trainers and human-in-the-loop (HITL) reviewers • Ensure compliance with all labeling standards, security protocols, and operational procedures • Drive continuous improvement initiatives to optimize pod efficiency, quality, and morale among the labeling teams • Other duties as assigned Required Qualifications: Bachelor's degree in a technical, geospatial, or management field and 2+ years of experience - Additional years of experience may be substituted in lieu of degree
    Demonstrated experience in managing or coordinating teams in a production environment
    Previous experience and understanding of data labeling annotation workflows Excellent organizational, communication, and people-management skills
    Demonstrated ability to manage multiple priorities under deadline pressure
    US Citizenship
    Secret clearance with eligibility for TS Desired Qualifications: Bachelor's degree in business management
    Fully adjudicated TS with SCI eligibility
    Experience with geospatial data processing and AI-driven mapping technologies
    Understanding of augmented reality (AR) and edge computing
    Prior work in ethical AI and model explainability techniques
    TS clearance Read Less
    Apply Now
  • F

    Systems Engineer IV (TS w/Poly) with Security Clearance  

    Figure Eight Federal LLC
    - Southern Md Facility
    Apply Now
    Figure Eight Federal (F8F): Leading the Future of AI Training Data Fig... Read More
    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. The systems engineer applies principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Retirement. Interacts with the Government regarding Systems Engineering technical considerations and for associated problems, issues or conflicts. Communicates with other program personnel, government overseers, and senior executives. Responsibility for the technical integrity, quality, and completeness of work performed and deliverables associated with one or more of the 25 process areas defined by ISO/IEC15288: Technical Process Area: Stakeholder Requirements Definition, Requirements Analysis, Architectural Design, Implementation, Integration, Verification, Transition, Validation, Operation, Maintenance, and Disposal Project Process Area: Project Planning, Project Assessment and Control, Decision Management, Risk Management, Configuration Management, Information Management, and Measurement Enterprise (Organizational Project-Enabling) Process Area: Project Portfolio Management, Infrastructure Management, Lifecycle Model Management, Human Resource Management, and Quality Management Agreement Process Area: Acquisition and Supply Responsibilities: Perform systems engineering activities and assist in the preparation of a work product in Technical Process Areas associated with the ISO/IEC 15288
    Perform systems engineering activities and assist in the preparation of multiple work products in Project and/or Technical Process Areas associated with any of the ISO/IEC 15288 processes
    Assist in performing systems engineering activities in the ISO/IEC 15288 Agreement or Enterprise Process Areas
    Perform analysis of technical alternatives for a project and make preliminary recommendations
    Develop and deliver a work product in any of the ISO/IEC 15288 Process Areas
    Perform systems engineering activities and develop and deliver work products of either the ISO/IEC 15288 Agreement or Enterprise Process Areas
    Independently analyze, and recommend alternatives for elements of project's technical design
    Perform systems engineering activities and develop and deliver work products in each of the ISO/IEC 15288 Project and Technical Process Areas
    Supervise or coordinate the work of other contractor engineers or technicians on a project
    Analyze and propose appropriate engineering standards and processes for a project
    Assist in conducting an evaluation to determine its suitability for project implementation
    Assist in developing a new or innovative approach to a technical or engineering issue
    Other duties as assigned Required Skills: Bachelor's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university
    Ten (10) years of systems engineering experience; OR a High School Diploma or GED plus fourteen (14) years of general systems engineering experience (any process area); OR a Master's degree in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus eight (8) years of systems engineering experience; OR a PhD in a Qualified Engineering Field (See Note 1) or a related discipline (See Note 2) from an accredited college or university plus eight (8) years of systems engineering experience Note 1 - Examples of Qualified engineering fields include: Aeronautics, Biomedical, Chemical, Civil, Computer, Electrical, Environmental, Mechanical, Nuclear, Software, Systems, and Engineering Management
    Note 2 - Examples of related disciplines include: Chemistry, Computer Science, Information Systems, Mathematics, and Physics ACTIVE, CURRENT TS CLEARANCE with POLY $1 - $200 a year Read Less
    Apply Now
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