AI Trainer / Data Annotation (Data Annotation – focused, non-exhaustive)
I train and improve AI by evaluating responses to prompts provided to AI models, focusing on the quality of the output. I create my own prompts and develop criteria for ideal responses to guide consistent evaluation. The goal is to assess contextual, humanistic responses rather than simple fact-checking or data gathering. • Evaluate AI-generated responses against predefined criteria • Author prompts to elicit desired response behavior • Define ideal-response standards and rubrics • Perform prompt-response quality assessment for training/tuning