PROMPT ANNOTATOR
In this position, I design and annotate prompts that guide AI systems to generate appropriate and contextually relevant responses. This includes categorizing prompt types, identifying intent, and ensuring consistency in tone, structure, and difficulty level. I also evaluate model outputs against expected responses, flagging errors and suggesting improvements to enhance model performance. Attention to detail is critical, as even small inconsistencies in prompt structure or labeling can affect training outcomes. The role requires strong language skills, critical thinking, and the ability to interpret complex guidelines. Collaboration with linguists, data scientists, and quality assurance teams is essential to maintain high annotation standards. Through this role, I contribute to improving the accuracy, safety, and usability of AI systems, ensuring they can effectively understand and respond to a wide range of human inputs.