Data annoteter
I have experience working with diverse data types, including image, text, and audio, utilizing tools like Appen for accurate labeling. My expertise covers tasks such as bounding box annotation, entity recognition (NER), classification, segmentation, and emotion recognition. I excel in prompt-response writing, fine-tuning datasets, and evaluation, ensuring high-quality, reliable outputs for AI models. With a strong attention to detail and familiarity with healthcare-specific datasets, I contribute effectively to building robust AI solutions tailored to the industry's needs.