Audio Labeling and Data Annotation
Word for word trascription Time aligned trasncripts Sound Event detection Labeling emotional tone of speech
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I am a detail-oriented AI data annotator with hands-on experience in text data labeling, model evaluation, and content moderation for language models. My work involves annotating and evaluating AI-generated responses, flagging unsafe or factually incorrect outputs, and ensuring high dataset quality under strict accuracy standards. I am skilled in using tools like Intercom, Zendesk, Microsoft Office Suite, and Google Workspace, and have a strong background in client-facing roles that demand clear communication and problem-solving. My experience spans both technical and customer support domains, allowing me to identify and escalate complex cases efficiently while maintaining a high level of consistency and attention to detail.
Word for word trascription Time aligned trasncripts Sound Event detection Labeling emotional tone of speech
Annotated over 50 short video clips Tagged actions and events Followed strict annotation guidelines Conducted quality checks on annotated datasets
Bachelor of Science, Nursing
Associate Degree, Data Science
Customer Support Representative