AI Data Trainer, DataForce by Trans Perfect (LLM/data evaluation and NLP annotation)
Trained and evaluated large language models by assessing AI-generated outputs for relevance, tone, and factual accuracy. Worked on natural language processing dataset annotation and classification to support downstream model training and improvement. Ensured outputs met labeling quality requirements through iterative review and alignment with guidelines.•Assessed content quality across relevance, tone, and factual correctness.•Annotated and classified NLP examples for model training.•Collaborated with QA teams to refine labeling guidelines and improve consistency.•Contributed to quality assurance processes for high data integrity.