AI Data Trainer / Annotator (Freelance, Labelbox, Outlier)
As an AI Data Trainer and Annotator, I worked on labeling and annotating over 50,000 data points across both text and image datasets. I evaluated and ranked more than 10,000 AI-generated responses, focusing on quality and accuracy. My efforts were aimed at improving model performance through rigorous annotation, evaluation, and prompt engineering. • Labeled and annotated text datasets to support AI/LLM training and benchmarking. • Evaluated AI model outputs for reliability and response relevance. • Applied RLHF methodologies to enhance model quality and alignment. • Designed and tested LLM prompts to optimize language model performance.