Site Lead - Data Annotation Program

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Company: Figure Eight Federal

Location: Arlington, VA 22204

Description:

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.

Be a part of a high-impact national mission at the intersection of AI/ML innovation and geospatial intelligence. You will lead one of the most advanced labeling operations supporting next-generation technologies for federal defense and intelligence applications.

We are seeking a dynamic and mission-driven Site Lead to oversee a large-scale data annotation operation in support of advanced AI/ML model development. This role is central to delivering high-quality, high-volume training datasets tailored for computer vision and geospatial intelligence (GEOINT) applications.

As Site Lead, you will supervise between 100-250 data annotation specialists, coordinating production activities across structured pods that include analysts, data specialists, QC engineers, trainers, and tiered reviewers. You will drive operational excellence in annotation job design, production management, quality control, and dataset delivery, while ensuring continuous alignment with customer goals and national security priorities.

Key Responsibilities:

Annotation Design & Execution

Develop and implement annotation job strategies aligned with programmatic objectives and customer requirements

Team Leadership

Lead, coach, and manage a multidisciplinary team, fostering high morale and a culture of operational excellence

Production Oversight

Monitor throughput, labor utilization, and resource allocation to ensure timely and cost-effective dataset production

Quality Control & Compliance

Implement multi-tiered quality assurance protocols to maintain data integrity, labeling accuracy, and compliance with federal and agency standards

Customer Engagement

Serve as the primary liaison with customers, incorporating feedback to adapt and enhance annotation workflows and delivery plans

Reporting & Metrics

Track and report on key performance indicators, including cost-per-label, time-to-production, and annotation accuracy

Strategic Support

Contribute to solutioning, capture, and business development activities that expand and evolve the data annotation mission

Required Qualifications:
    • Bachelor's degree in Geography, Engineering, or a related technical or scientific discipline (additional years of experience may be substituted for a degree)
    • A minimum of 15 years of experience in geospatial analysis, intelligence operations, data production, or a closely related field
    • Demonstrated success leading large-scale production teams and managing operational delivery within a technical or data-intensive environment
    • TS/SCI


Desired Qualifications:
    • Master's degree in Geography, Engineering, or a related field
    • Prior experience delivering on 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 pipeline


Work Environment & Travel:
    • This role is based in the National Capital Region with potential site visits to Springfield, VA, St. Louis, MO, and other program locations
    • Telework is permitted subject to supervisor approval and dependent on tasking and program needs
    • Occasional travel (up to 25%) may be required to support program delivery and coordination across multiple government and contractor locations


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.

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