Data Annotator
As a data annotator for Mindrift, I contributed to the annotation and evaluation of training datasets for advanced large language models. My responsibilities included analyzing and labeling complex textual prompts and AI-generated responses for factual accuracy, coherence, and safety compliance. I specialized in tasks related to Reinforcement Learning from Human Feedback (RLHF), including direct ranking and detailed feedback on model outputs. • Provided annotation and evaluation for training datasets of LLMs • Labeled and ranked AI-generated text for quality and guideline adherence • Delivered detailed written feedback and analysis • Collaborated with global teams to ensure high standards