Job Description

Do you have a sharp eye for detail and enjoy working with data? We are looking for a Data Annotator to join our team.

In this role, you will be responsible for preparing, labeling, and validating data according to project requirements and quality standards. Working closely with engineers and other stakeholders, you will help ensure the accuracy, consistency, and reliability of datasets used in advanced technology solutions.

• 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

Qualifications

• 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

Additional Information

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