
10x offers AI-powered humanoid robots for real-world applications. The system combines AI, robotics, and perception to perform complex tasks in physical environments. It is a robotics platform aimed at enterprise deployments that need automated, adaptable workers. Core technologies include AI, robotics hardware, sensors, and control software. The solution targets scalable deployments in industries seeking automation and efficiency.

10x offers AI-powered humanoid robots for real-world applications. The system combines AI, robotics, and perception to perform complex tasks in physical environments. It is a robotics platform aimed at enterprise deployments that need automated, adaptable workers. Core technologies include AI, robotics hardware, sensors, and control software. The solution targets scalable deployments in industries seeking automation and efficiency.
Duration: 6 months
Department: Data Annotation / Machine Learning / AI
Role Overview:
We are seeking a detail-oriented and motivated CVAT Annotation Intern to assist in the creation of high-quality label datasets using CVAT (Computer Vision Annotation Tool). In this role you will directly contribute to the creation of robust datasets required for training physical AI agents.
Accurately annotate and label objects, regions, and features within images using various annotation techniques (e.g., bounding boxes, polygons, segmentation mask) on CVAT. • Maintain organized records and document all annotation updates accurately. • Perform quality control checks on annotated data, including reviewing and verifying the work of other annotators when required • Collaborate with AI/ML teams to enhance dataset quality and build new type of datasets. • Suggest improvements to annotation guidelines and workflows. • Adhere to project deadlines and deliver high-quality annotated data within predetermined timelines. • Communicate effectively with project leads and team members about challenges and gathering/sharing best practices.
What You’ll Gain:
• Practical experience with data annotation for real-world AI applications.
• Master various image annotation techniques, become proficient in industry-standard human in the loop annotations.
• Gain expertise in CVAT, a leading annotation tool used across Robotics and computer vision industries.
• Mentorship from experienced AI/ML professionals.
• A pathway to roles in data analysis, QA, or other entry-level positions within the AI and tech industries.