NLP & Technical Data Annotator | Hugo
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RLHF
Entity (NER) ClassificationI performed detailed annotation work for NLP datasets, decomposing complex prompts into step-by-step labeled actions for LLM training. My role included enforcing annotation quality, reviewing peer work, and ensuring benchmark-level dataset precision prior to model training pipeline handoff. I collaborated with distributed teams to refine annotation guidelines and continuously improve workflow standards. • Produced and validated thousands of structured annotation trajectories in JSON, XML, and CSV formats. • Specialized in classifying intent, entities, and sentiment for NLP and agentic workflow-based AI tasks. • Reviewed, corrected, and ensured reproducibility of annotations to meet high recall and precision metrics. • Rapidly adapted to new annotation tools and project guidelines across multiple, concurrent AI/ML projects.