Training Manager / Computer Vision Annotation (Secret+)

Figure Eight Federal Inc.; Missouri; On-site; USD 70,000 - 120,000; Full time

Job summary

Figure Eight Federal Inc. seeks a Training Manager to lead the evolution of training programs for annotators specializing in EO and SAR imagery. The role demands a blend of workforce development, advanced AI tooling expertise, and compliance with industry regulations, ensuring high annotation standards. Collaborating closely with interdisciplinary teams, you will pioneer innovative training strategies and oversee ethical labeling practices.

Qualifications

• 5-8 years in quality control with relevant degree.
• Proven curriculum development experience for annotation.
• Strong grasp of EO/SAR imagery and analytics.

Responsibilities

• Design and deliver structured training programs for data annotators.
• Develop curricula for machine-assisted object detection.
• Implement continuous learning strategies for regulatory updates.

Skills

Curriculum Development

Workforce Development

AI Transparency

Bias Mitigation

Deep Learning

Education

Bachelor's degree in Geographic Information Science or related fields

High School Diploma with 10+ years experience in Geospatial Analysis

Tools

Automated Annotation Tools

Deep Learning Segmentation Models

Job 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 over 25 years of industry knowledge, F8F’s technology powers many daily AI interactions. Our solutions empower clients to achieve their AI goals and make industry impacts.

The Training Manager will lead the development, implementation, and modernization of training programs for employees responsible for labeling and annotating EO and SAR imagery, including video formats. This role involves optimizing workflows, developing best practices, maintaining high annotation accuracy, and ensuring compliance with project guidelines. Expertise in AI-assisted annotation tools, regulatory compliance, and evolving best practices in AI-driven image analysis is essential. The Training Manager will collaborate closely with engineers, analysts, and policy experts to ensure adherence to U.S. regulations and ethical standards, including transparency, bias mitigation, and content authenticity.

Responsibilities:

1. Design and deliver structured training programs for data annotators, focusing on labeling techniques, accuracy, and tool proficiency, utilizing F8F’s machine learning-powered annotation tools and automation platforms.
2. Develop and modernize curricula for annotators to label and annotate EO/SAR imagery, including video formats.
3. Create specialized training for machine-assisted object detection on SAR imagery, metadata tagging, and transparency labeling.
4. Coordinate with platform engineering, project managers, and specialists to improve automated validation scripts for bounding box, segmentation, and object classification tasks.
5. Provide hands-on training and mentorship to improve workforce skills in automated image classification and AI-assisted video analysis.
6. Partner with analysts, pod leads, and data specialists to design upskilling pathways based on review insights and align quality training with mission goals.
7. Implement continuous learning strategies, including refresher courses on regulatory updates and technological advancements.
8. Establish evaluation metrics to assess employee proficiency in AI-assisted annotation techniques.
9. Ensure annotation approaches comply with President Biden’s Executive Order on AI (2023) and emerging federal/state laws governing AI-generated labels.
10. Implement watermarking and metadata requirements in training, following the 2024 bipartisan bill mandating AI content disclosure.
11. Educate employees on bias mitigation, fairness in AI annotations, and consumer protection laws outlined by the FTC and customer requirements.
12. Optimize processes to develop best practices for annotation workflows and refine labeling guidelines within standards.
13. Manage and improve tools by working with geospatial and AI experts to refine annotation guidelines and accuracy benchmarks, utilizing feedback loops to enhance functionality.
14. Monitor industry trends and incorporate advanced AI techniques into curriculum updates, including video labeling and deepfake detection for transparency.
15. Document and report on annotation performance metrics, generate reports, and optimize AI-assisted segmentation models for EO/SAR imagery.
16. Other duties as assigned.

Required Qualifications:

• Bachelor's degree in fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence, with 5-8 years of experience in quality control programs, or HS Diploma with 10+ years in Geospatial Analysis, Geospatial Engineering, or Cartography.
• Proven ability to develop and modernize curricula for annotators and AI-assisted labeling specialists.
• Strong background in workforce development and training program optimization.
• Deep understanding of EO/SAR imagery and geospatial analytics.
• Expertise in performance assessment and continuous learning strategies.
• Proficiency in automated annotation tools, deep learning segmentation models, and metadata tagging.
• Experience reviewing labeled imagery, spatial datasets, or structured data.
• Ability to implement ethical labeling and bias mitigation strategies in AI-based annotation.
• US Citizenship
• Active Secret clearance

Desired Qualifications:

• Master’s degree in related fields with 15+ years in Geospatial Engineering or GEOINT Operations, or Bachelor's with 10+ years of relevant experience.
• Certifications in AI Ethics, Machine Learning, GIS, or Regulatory Compliance (e.g., NIST AI Risk Management Framework, GEOINT Professional).
• Extensive experience in AI-powered image and video annotation.
• Experience with government agencies or defense AI imaging programs, IC data standards, or government workflows.
• Experience integrating FTC laws and Biden’s AI Executive Order into training.
• Ability to incorporate AI advancements into training programs.
• Familiarity with AI transparency laws at federal and state levels.
• Knowledge of the 2024 bipartisan bill on watermarking and metadata in AI content.
• Engagement with AI ethics organizations to stay updated on best practices.
• Active TOP SECRET clearance

We are an equal opportunity employer committed to diversity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.