Oratile Kgapane

At Invisible Technologies, I generate detailed prompts and responses that help AI distinguish factual data, contextual information, and behavioral patterns.

I analyze errors and inconsistencies, collaborate on refining training methods, and support more adaptable AI systems with stronger problem-solving capabilities.

Through Prolific and Remotasks projects, I annotated large-scale image and video datasets using bounding boxes, segmentation masks, and classification tags. I also reviewed AI-generated and user-created content for compliance, accuracy, and quality.

I'm passionate about supporting AI development through precise, consistent annotation, structured feedback, and reliable remote collaboration.