Data Annotator

• Perform data annotation and labeling tasks for various data formats (images, video, audio, etc.) using appropriate tools and techniques
• Apply classification, tagging, bounding boxes, segmentation, or other annotation methods according to project requirements
• Prepare, clean, and structure raw data for Machine Learning pipelines
• Ensure accuracy, completeness, and consistency of annotations in line with established guidelines
• Conduct self-checks and participate in internal quality review processes
• Identify and escalate inconsistencies or anomalies in datasets
• Collaborate with Machine Learning Engineers, Data Scientists, and other stakeholders to clarify requirements and improve data quality
• Maintain basic documentation related to datasets and annotation processes
• Follow data handling, security, and privacy protocols
• Track progress, meet deadlines, and proactively report issues
• Contribute to the improvement of annotation guidelines and processes

• Solid understanding of data annotation and labeling processes
• Experience or readiness to work with annotation tools (e.g., CVAT, Label Studio, Supervisely)
• Good understanding of Machine Learning / Computer Vision pipelines
• Ability to work with large volumes of structured and unstructured data
• Strong computer literacy and data handling skills
• Intermediate or higher level of English, both written and spoken

PERSONAL PROFILE

• High attention to detail and accuracy
• Ability to perform repetitive tasks without quality degradation
• Strong discipline and structured approach to work
• Responsibility for results and quality of output
• Ability to follow guidelines and instructions precisely