AI Data Labeling and Annotation for Agent Development
Specialized in high-precision data labeling and annotation for AI/ML training, focused on preparing, cleaning, and quality-assuring datasets for reliable model development. Designed and implemented automated AI workflows using n8n, with traceability and observability via LangSmith and CrewAI tools. Delivered consistently accurate, consistent, and traceable labeled text datasets for AI agent training in multiple projects. • Developed and deployed custom AI agent pipelines incorporating labeled data • Executed end-to-end annotation, classification, and quality-check procedures • Leveraged proprietary and open-source tooling for efficient workflow management • Applied rigorous data governance and ethical AI practices throughout labeling processes