Annotator

As a dedicated and detail-oriented Annotator for LabelNest's Video Skeleton Annotation project, your role will involve labeling and tagging human body movements, skeletal points, and postures in videos to support AI and machine learning model development in human motion and activity analysis. This contractual job allows you to work from home for a duration of 3 months, extendable up to 1 year based on your performance. You will be expected to work 8 hours/day, Monday to Saturday, with a preference for night shifts. The estimated project hours range from 1,000 to 1,500 hours. Key Responsibilities: - Annotate human skeletal points, body movements, and postures in videos with accuracy and consistency. - Follow detailed project guidelines and maintain annotation quality. - Achieve a daily target of 200 images while ensuring precision. - Review and verify annotations to guarantee accuracy. - Coordinate with the quality assurance team for feedback and updates. - Manage time effectively to meet project deadlines and productivity standards. Requirements: - Must have a valid Aadhaar card. - Must submit an updated resume during the application process. - Basic computer operating knowledge is sufficient; no prior experience required. - Must have a stable internet connection and a personal laptop/desktop (mandatory for WFH). - Ability to meet daily targets and maintain annotation consistency. - Good communication skills and comprehension in English or Indian languages. - Willingness to work in a night shift (preferred). What We Offer: - Work from Home: Enjoy a flexible and convenient setup. - Experience Certificate upon successful completion. - Extendable Duration: Up to 1 year based on performance. - Opportunity to gain practical experience in AI-based video annotation and data labeling. If you are interested in this role, please send your resume to hr@labelnest.in.,