Data annotation
Classification of the text and rating of the text
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I am a Computer Science graduate with hands-on experience in AI data annotation, model evaluation, and quality assurance. My work at Innodata involved validating and reviewing AI-generated datasets, identifying labeling errors, and ensuring data accuracy, relevance, and compliance with strict quality standards. I am skilled at annotating both text and multimodal content, performing root-cause analysis, and documenting findings clearly. My technical toolkit includes Python (Pandas, NumPy), SQL, MySQL, and MS Excel, and I am comfortable with basic programming and web technologies. I have contributed to projects involving multimodal AI quality review, RLHF-style preference ranking, and the development of web and mobile applications. With a strong analytical mindset and attention to detail, I am dedicated to delivering high-quality training data for AI and machine learning applications.
Classification of the text and rating of the text
To describe the image and its color to help Ai to train
Bachelor of Science, Computer Science
Higher Secondary Certificate, Science
Data annotation