NLP & Technical Data Annotator | Hugo
As an NLP & Technical Data Annotator at Hugo, I produced and validated structured annotation trajectories for LLM training. I decomposed complex natural language prompts into detailed, step-by-step labeled actions, focusing on intent, entity, and sentiment classification. I rigorously enforced annotation quality, validated datasets, and contributed to the improvement of annotation guidelines. • Executed annotation tasks in structured data platforms (JSON, XML, CSV) for large-scale NLP projects. • Utilized web-based annotation tools in agentic workflow simulation environments. • Validated peer work and resolved inconsistencies to maintain project benchmark accuracy. • Collaborated on evolving guidelines and new task types for AI/ML data quality.