Data Annotator
I have contributed to AI training and data processing projects involving audio and video transcription, as well as data annotation and labeling. My work has focused on converting audio content into accurate, well-structured text while adhering to strict transcription guidelines, including speaker identification, timestamping, and clarity across varying audio qualities and accents. In addition, I have experience supporting AI model development through data annotation tasks such as categorization, tagging, and content evaluation. I ensure consistency, accuracy, and quality control across datasets by carefully following project-specific instructions and maintaining attention to detail over large volumes of data. I have worked in remote environments, managing tasks independently while meeting deadlines and maintaining high-quality standards. My approach combines precision, strong comprehension, and the ability to quickly adapt to new guidelines, making me effective in structured, research-driven AI projects.