Technical Lead

Key Responsibilities

• Annotate and label images, videos, and other visual data for machine learning and computer vision projects
• Create accurate bounding boxes, polygons, segmentation masks, keypoints, and classifications based on project requirements
• Review and validate annotations to ensure high-quality data standards
• Follow annotation guidelines and contribute to continuous improvement of labeling processes
• Work closely with Data Scientists and Machine Learning Engineers to understand data requirements
• Manage and organize annotated datasets and maintain annotation records
• Perform quality checks and resolve inconsistencies in labeled data
• Support dataset preparation for model training, testing, and validation

• Experience using data annotation tools such as CVAT, Encord, or similar platforms
• Good understanding of image and video annotation techniques
• Strong attention to detail and commitment to data quality
• Ability to follow annotation guidelines accurately and consistently
• Basic understanding of computer vision and machine learning concepts
• Good communication and collaboration skills

• Experience annotating industrial inspection, manufacturing, or computer vision datasets
• Familiarity with object detection, segmentation, and classification use cases
• Basic knowledge of Python and data handling is an advantage
• Experience with quality review or annotation team coordination is a plus

• Bachelors degree in engineering, Computer Science, Information Technology, or a related field
• Relevant annotation experience may be considered in lieu of formal education

This role offers the opportunity to contribute to cutting-edge AI and computer vision solutions by creating high-quality datasets that power machine learning models.