About Annotator

Daria is a highly experienced remote data labeler who has developed a reputation for delivering high-quality annotations and efficient database management. With extensive experience in online learning modules for image collection, tagging, bounding box, polygons, and semantic segmentation, Daria has developed a reputation for delivering high-quality annotations and efficient database management.

Daria is also skilled in machine learning concepts like supervised and unsupervised learning, deep learning, and transfer learning. With extensive experience in online learning modules and machine learning concepts, Daria is well-suited to tackle challenging machine learning projects and deliver high-quality annotations for training accurate models.

Efficient Remote Data Labeler with Proficiency in AI Labeling, Machine Learning Annotation, and Collection Databases

AI Labeling

  • Skilled in using AI labeling tools like Labelbox and Dataturks for efficient and accurate data labeling;
  • Capable of labeling various types of data, including; images, audio, and text, for tasks such as object detection, text classification, and sentiment analysis;
  • Knowledgeable in data cleaning and normalization to ensure high-quality annotations for training machine learning models.

Machine Learning Annotation

  • Experienced in machine learning annotation for image, audio, and video datasets;
  • Capable of using annotation techniques such as bounding boxes, polygons, and semantic segmentation for object detection and image segmentation tasks;
  • Skilled in annotating data for machine learning models using tools such as CVAT, Labelbox, and Dataturks.

Collection Databases

  • Proficient in managing collection databases for large-scale machine learning projects;
  • Capable of designing efficient data collection pipelines for various data types;
  • Experienced in managing data quality and ensuring data privacy and security.

Online Learning Modules

  • Completed various online learning modules in image collection, tagging, bounding box, polygons, and semantic segmentation;
  • Knowledgeable in using tools like Labelbox, CVAT, and Dataturks for efficient annotation and database management;
  • Capable of adapting to new technologies and tools for efficient and accurate data annotation.

Contact us today to hire data labeler and elevate your machine learning projects with efficient and accurate data labeling.

Hire This Data Annotator for Your Project

    Oleksandra Vashchenko
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