AI Data Annotator – Supervised Fine-Tuning (SFT)
As an AI Data Annotator in a Supervised Fine-Tuning (SFT) workflow, I contributed to the improvement of conversational AI by labeling meeting transcripts. My work supported enhanced model comprehension of conversational elements such as intent and action items. I meticulously adhered to SFT guidelines to ensure high-quality annotation data for LLM optimization. • Labeled dialogue sequences to capture intent, decisions, and speaker roles. • Annotated fine-grained attributes to assist accurate AI understanding. • Coordinated with project leaders on evolving SFT specifications. • Prepared diverse data examples for robust LLM training.