Freelance AI Data Contributor (Remote) – AI training and LLM evaluation
TextServed as a freelance AI data contributor performing data annotation and LLM output evaluation to improve AI system quality. Assessed and ranked large language model responses using criteria such as accuracy, relevance, reasoning quality, safety, and alignment with user intent. Conducted fact-checking and research verification while identifying hallucinations and providing detailed feedback for dataset and model improvements. • Evaluated and ranked LLM outputs based on quality and compliance requirements • Labeled and classified complex datasets for training consistency • Performed hallucination detection, logical inconsistency checks, and accuracy validation • Produced evaluation reports and justification analyses to support model training and optimization initiatives