Freelance AI Trainer | Data Annotation
This role involved evaluating AI-generated text responses for accuracy, helpfulness, and safety. I authored clear, evidence-based rationales in English to justify sample preferences and identify areas for model improvement. I maintained rigorous quality standards, which resulted in access to specialized projects. • Evaluated complex AI model outputs using detailed criteria. • Authored rationales explaining model preferences and reporting factual errors. • Focused on large language model safety and accuracy, including hallucination detection. • Ensured high-quality annotation work in a remote freelance environment.