Data labeling
Contributed to AI model development by performing high-accuracy data annotation and evaluation tasks across text, image, and audio datasets
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I am a detail-oriented data annotator with hands-on experience training AI systems through data labeling, transcription, and quality evaluation on platforms like Appen and Clickworker. My background includes annotating and labeling diverse datasets—text, audio, and images—to enhance machine learning models, as well as evaluating AI-generated responses for accuracy and relevance. I am adept at following complex guidelines, maintaining consistency, and meeting deadlines in remote work environments. With strong analytical skills, a keen eye for detail, and proficiency in tools such as Google Workspace, MS Office, and basic Python, I am committed to delivering high-quality, accurate training data for AI and machine learning projects.
Contributed to AI model development by performing high-accuracy data annotation and evaluation tasks across text, image, and audio datasets
Bachelor of Science, Control and Instrumentation Engineering
Engineering intern