Text data labeling Contributor
I have worked for about two months on text data labeling using text generation, grammar correction, and summarization.
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With over 3 years of experience in data labeling and AI training, I specialize in preparing high-quality datasets to enhance machine learning models. My expertise includes annotating text, images, and audio data for tasks like entity recognition, sentiment analysis, and object detection. I’ve worked on [mention specific projects, e.g., NLP datasets for chatbots, computer vision training for autonomous vehicles, or speech recognition datasets], ensuring accuracy and consistency through rigorous quality checks. My proficiency with tools like Label Studio, Remotasks, Labelbox, or Appen and understanding of AI/ML principles allow me to contribute effectively to model performance. What sets me apart is my meticulous attention to detail, ability to handle complex labeling guidelines, and experience working with cross-functional teams (data scientists, engineers) to refine datasets. Additionally, I’ve domain expertise in healthcare/finance, multilingual annotation, or certifications in data annotation. My goal is to deliver clean, bias-aware data that drives robust AI systems.
I have worked for about two months on text data labeling using text generation, grammar correction, and summarization.
I have recorded and evaluated some audios in Arabic and in English
I have worked for 1 year watching videos and summarizing their contents in understandable way.
Bachelor's in Computer Science, Computer Science
Software Developer