Candice Dammert

I am a detail-oriented Data Quality & Tech Ops specialist with over a decade of professional experience across education, editorial workflows, and AI/ML data annotation. I specialize in data labeling, transcription QA, anomaly detection, and workflow optimization to ensure accuracy and consistency at scale.

My recent work includes annotating 10,000+ text and image samples with 98% accuracy for model training and managing multilingual content workflows in cloud-based, containerized environments. I have tested automated transcription systems, identified errors to improve AI/ML outputs, and partnered with international teams to streamline complex processes and meet delivery deadlines.

I bring a data-driven mindset from a background in education and formal training in data analytics, and I am committed to supporting global content operations and continuous process improvement to enhance model performance and operational efficiency.