Freelance
erformed data labelling and annotation for supervised machine learning datasets including image classification, object detection, NLP text tagging, and sentiment analysis. • Annotated large volumes of text, audio, and image data to support AI model training and fine-tuning pipelines. • Applied quality control processes to ensure annotation consistency and accuracy, maintaining >95% inter-annotator agreement. • Used platforms such as Scale AI, Appen, and Labelbox to manage and deliver labelling tasks within deadlines. • Contributed to RLHF (Reinforcement Learning from Human Feedback) projects by rating and ranking AI-generated responses for alignment and safety. • Wrote and reviewed prompts for large language model (LLM) training, evaluating factual accuracy, tone, and helpfulness. • Participated in AI content moderation projects, flagging harmful or policy-violating content according to established guidelines.