AI Data Annotator & Quality Reviewer
As an AI Data Annotator & Quality Reviewer, I labeled and reviewed diverse datasets to train and validate AI models. I focused on large language model (LLM) workflows involving text, audio, and image data, ensuring the accuracy of annotations and feedback. The tasks included Reinforcement Learning from Human Feedback (RLHF), content rating, and transcription for AI model development. • Labeled and annotated over 15,000 data points spanning text, image, and audio formats. • Maintained a personal annotation accuracy rate above 97%. • Contributed to RLHF by rating AI model responses for relevance, tone, and factual accuracy. • Transcribed and cleaned audio datasets for ASR (Automatic Speech Recognition) training.