AI Data Annotator
As an AI Data Annotator and RLHF competent, I completed prompt & response authoring certification and training in evaluating AI-generated responses. My work focused on assessing model outputs for accuracy, coherence, relevance, and safety within structured annotation pipelines. I actively engaged in natural language evaluation and RLHF workflows for instruction-following and conversational quality assurance. • Evaluated single-turn and multi-turn model conversations for logic, consistency, and factual accuracy. • Conducted comparative ranking and preference labelling for LLM fine-tuning datasets. • Applied RLHF methodologies, including hallucination and error detection. • Used standardized frameworks to assess instructional adherence and potential harms in AI outputs.