Audio Annotation QA
An analysis of audio clips making sure they are transcribed accurately based on guidelines.
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I am an efficient and organized professional with hands-on experience in data labeling and quality assurance for AI training data. Currently, I work as a QA Data Reviewer, where I ensure audio datasets are accurately labeled according to client guidelines using Labelbox. My responsibilities include resolving transcription errors and performing quality checks on audio samples with various English accents to support robust machine learning models. With a background in accounting and strong skills in Microsoft Office, I bring attention to detail, effective communication, and a continuous improvement mindset to every project. I am eager to leverage my skills in data annotation and quality assurance to contribute to innovative AI solutions.
An analysis of audio clips making sure they are transcribed accurately based on guidelines.
The project was to determine if an image of a cell had the correct shape or if it the cell was flagged incorrectly.
The project wanted workers to identify if an audio recording properly said "Cortana" or if it recorded a false positive.
Bachelor of Arts, Accounting
Associate of Science, Accounting
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