Specialist of Data Annotation
Specialist of Data Annotation
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I have over seven years of experience working as a specialist in the field of annotation of data, and the preparation of the training datasets of high quality regarding AI and machine learning tasks. I have got experience with various projects related to labeling image, video, audio, and text using wider tools, such as CVAT, Labelbox, Supervisely, LabelImg, and Prodigy. I am also an expert in the bound box annotation, polygon segmentation, keypoint detection, text classification, and audio transcription and the ability to perform tasks using a large-scale dataset with accuracy and consistency. My advantage over others is that I observe details and am aware of what is required in an AI model, and I can adhere to complicated labeling instructions. I have worked on projects in such fields as autonomous vehicles, healthcare, e-commerce, and NLP, where I had to work either in Agile or tight with a team of data scientists and developers. I intend to generate precise, clean, and well-structured data to enable AI applications to work optimally.
Specialist of Data Annotation
Cleansing/Categorization of Data Data Bounding Boxes, Polygon, Key Point, Semantic Segmentation The Annotated Data Quality Assurance (QA) Annotation Tools: CVAT, Labelbox, Supervisely, VGG Image Annotator, AWS SageMaker Ground Truth, Hive, Appen, Remotasks Detailed Orientation & Precision at Task Teamwork and working remotely
Diploma/Certificate, Data Annotation & Supporting AI
BACHELOR IN COMPUTER SCIENCE, Diploma/Certificate Annotator of Data & Supporting AI
Specialist of Data Annotation