Independent AI Data Trainer/Annotator-style work (prompt testing and output evaluation for academic/personal projects)
Built and tested prompts for generative AI models to support research and academic projects, focusing on improving response quality through iterative evaluation. Reviewed and checked outputs against specific rules and technical standards to ensure compliance with assignment or guideline requirements. Produced structured, objective feedback to refine prompts and rerun evaluations for better results. • Prompt testing and iterative refinement for generative responses • Evaluation of model outputs against rubric-like rules and standards • Compliance checking for guideline adherence and consistency • Documentation of clear, structured feedback for improvement