Text and Audio Annotation for LLM Evaluation
I participated in several AI training projects involving high-quality data labeling for large language models (LLMs). Tasks included transcribing short audio clips, annotating text for sentiment and intent, segmenting spoken utterances, evaluating AI-generated responses, and writing prompts with expected answers. I worked on both English and Arabic datasets, maintaining a high standard of accuracy and consistency. Each task followed strict guidelines and involved regular quality checks and feedback. I consistently met performance targets and was selected for multiple follow-up projects based on strong accuracy and task completion rates.