AI Data Annotator — AI platforms (prompt/response evaluation and annotation for ML/NLP, including RLHF-style feedback)
Data Annotation Tech
TextPerformed AI data annotation and labeling for large-scale machine learning and NLP projects on external data-annotation platforms. Evaluated AI-generated prompts and responses using structured rubrics covering accuracy, reasoning quality, relevance, safety, and linguistic fluency. Contributed to prompt engineering and response optimization for large language models (LLMs) to improve output quality and alignment. • Annotated and reviewed multilingual prompts and responses across multiple languages • Conducted comparative assessments of model outputs and provided detailed feedback • Supported reinforcement learning and model fine-tuning workflows via consistent evaluations • Participated in human-in-the-loop processes including content review, response ranking, and instruction-following checks