AI Image & Response Evaluation for Model Training
I have worked on data labeling tasks that involve carefully reviewing AI-generated images and identifying inconsistencies or unrealistic elements. This included annotating and categorizing visual details such as objects, positions, and structural issues within images. The work required close attention to small details and providing clear explanations for why certain elements appeared inaccurate or inconsistent. I have also completed labeling tasks related to text and content evaluation, where I reviewed outputs and categorized them based on instruction-following, realism, and overall quality. These projects required structured thinking, consistency in applying guidelines, and careful evaluation to ensure annotations accurately reflected the content being reviewed.