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Training Manager / Computer Vision Annotation (Secret+)
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Job Description
Responsibilities:
- Training & Development, providing structured training programs for data annotators, covering labeling techniques, accuracy improvement, and tool proficiency, using the latest F8F machine learning-powered annotation tools and automation platforms.
- Design and modernize curricula for annotators to label and annotate EO/SAR imagery, to include video formats.
- Develop specialized training for machine assisted automated object detection on SAR imagery, metadata tagging, and transparency labeling.
- Coordinate with platform engineering, project managers, and specialists to improve automated validation scripts for bounding box, segmentation, and object classification tasks.
- Provide hands-on training and mentorship to enhance workforce skills in automated image classification and AI-assisted video analysis.
- Partner with analysts, pod leads, and data specialists to help design upskilling pathways based on review insights and align quality training with mission goals.
- Implement continuous learning strategies, offering refresher courses on regulatory updates and technological advancements.
- Establish evaluation metrics to measure employee proficiency in AI-assisted annotation techniques.
- Ensure annotation approach is in compliance with President Biden’s Executive Order on AI (2023) and emerging federal/state laws governing AI-generated labels.
- Implement watermarking and metadata requirements in training, following the 2024 bipartisan bill mandating AI-generated content disclosure.
- FT Comment on the above - I think the above bullet is out of scope. I'm not sure we have a requirement to do this so recommend removing.
- Educate employees on bias mitigation, fairness in AI annotations, and consumer protection laws outlined by the FTC and customer requirements.
- Process optimization to develop best practices for efficient annotation workflows and continuously refine labeling guidelines within conditions and standards.
- Tool management and improvement, work alongside geospatial and AI experts to refine annotation guidelines and accuracy benchmarks, utilizing feedback loops on labeling tools and applications to enhance functionality.
- Monitor industry trends and integrate advanced AI techniques for annotation into curriculum updates.
- Stay informed on AI-driven innovations for video labeling and deepfake detection to enhance transparency.
- Documentation & Reporting for audits and optimization, enhance labeling procedures, generate reports on annotation performance metrics, and optimize AI-assisted segmentation models for EO/SAR imagery.
- Other duties as assigned.
Required Qualifications:
- Bachelor's degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence, and 5 - 8 years of experience in quality control programs -or- HS Diploma or equivalent and 10+ years cumulative experience in Geospatial Analysis, Geospatial Engineering, or Cartography in lieu of degree.
- Proven ability to develop and modernize curriculum for annotators and/or 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.
- Proficiency in reviewing labeled imagery, spatial annotation 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 degree in related fields like Geographic Information Science, Geospatial-Intelligence, Computer Vision, Artificial Intelligence and 15+ years of experience in Geospatial Engineering or GEOINT Operations -or- Bachelor's degree in previously mentioned degrees and 10+ years’ experience in Geospatial Analysis, Geospatial Engineering, or Cartography.
- Certifications in AI Ethics, Machine Learning, Geographic, Geospatial, or Regulatory Compliance (e.g., NIST AI Risk Management Framework, Certified GEOINT Professional, GIS Professional, ASPRS, GEOINT Professional).
- Extensive experience in AI-powered image and video annotation.
- Experience working with government agencies or defense-related AI imaging programs, IC data production standards, or government delivery workflows.
- Experience integrating FTC consumer protection laws and Biden’s AI Executive Order (2023) into training programs.
- Ability to incorporate AI advancements into training programs for image classification and video annotation.
- Familiarity with AI transparency laws at both federal and state levels.
- Knowledge of 2024 bipartisan bill mandating watermarking and metadata embedding in AI-generated content.
- Engagement with NIST, MIT Media Lab, or AI ethics organizations to stay updated on best practices.
- Active TOP SECRET clearance
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