Data Annotator/Reviewer

Annotate point cloud datasets using Supervisely according to project guidelines. Review and validate annotated data to ensure accuracy and consistency. Perform quality assurance checks and identify labeling errors or gaps. Provide feedback and corrections to improve annotation quality. Follow client-defined annotation standards and best practices. Support AI/ML data preparation workflows through high-quality data labeling. Collaborate with annotators and reviewers to maintain project quality targets. Participate in client-provided training and apply learned workflows effectively. Track annotation progress and meet assigned productivity goals. Maintain data integrity and ensure timely completion of assigned tasks. Experience with point cloud annotation and 3D data labeling is considered a plus.

Desired Candidate Profile

Bachelor's degree in computer science, Information Technology, Software Engineering, Data Science, Artificial Intelligence, Engineering , or any related field. Experience in data annotation, data labeling, or quality review. Familiarity with point cloud annotation is an advantage. Strong attention to detail and ability to follow guidelines consistently. Ability to work independently and meet project deadlines.