Today
Secret
Unspecified
Unspecified
Management
Arlington, VA (On-Site/Office)
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:
Desired Qualifications:
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
group id: 91125903
