Google LOFT 2.0 Project
The project entails listening to lengthy English audio recordings and segmenting background noises such as ringtones, applause, and other sounds, as well as transcribing the spoken content from 30-minute audio files.
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I offer precise and insightful annotation services tailored to the unique needs of AI/ML projects. I specialize in providing high-quality data annotation services essential for AI and machine learning model training. My expertise spans various industries including healthcare, automotive, retail, and technology, enabling me to deliver precise and contextually accurate annotations tailored to the specific needs of each project.
The project entails listening to lengthy English audio recordings and segmenting background noises such as ringtones, applause, and other sounds, as well as transcribing the spoken content from 30-minute audio files.
The scope of the project involves rating, categorizing, and potentially rewriting written paragraphs based on provided guidelines.
Document Visual Question Answering Dataset. I annotated 1,850 images by examining each photo and generating 10 questions and answers to train the Computer Vision model for the Adobe Research Center.
The project is a “Search Relevance” project, it requires annotators who will evaluate the search results of a number of products; if it is useful to the customers or not.
Bachelor of Arts in Linguistics, Arts (Linguistics)
Data Annotator
Amazon Search Relevance Annotator-UK English