classification
generalist outlier
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Data Annotator / Reviewer. Core strengths include Labelbox. Education includes Bachelor of Medicine, N/A. AI-training focus includes data types such as Image and labeling workflows including Classification.
generalist outlier
As a Data Annotator/Reviewer at OUTLIER, I worked with large datasets to provide accurate annotations for images, text, and audio. My responsibilities included labeling, reviewing, and validating data according to detailed project guidelines. I was consistently recognized for achieving high accuracy rates and improving data quality. • Maintained high precision and compliance with annotation standards. • Utilized tools such as Labelbox, CVAT, and Supervisely for efficient labeling. • Collaborated with other annotators and contributed feedback for workflow improvements. • Conducted quality checks and corrected errors to support AI/ML model training.
Bachelor of Medicine, Medicine
research on AI