About the job
Dyna Robotics is at the forefront of robotics innovation, developing versatile robots powered by a unique embodied AI foundation model. Our technology enables these robots to learn and adapt across various environments, achieving commercial-grade performance that stands out in the industry. With deployments across multiple sectors, our flagship model boasts unparalleled generalization and efficiency. Founded by experienced entrepreneurs Lindon Gao and York Yang, along with former DeepMind research scientist Jason Ma, Dyna Robotics has secured over $140 million in funding from leading investors such as CRV and First Round. We are set to transform the robotic automation landscape. Join us and be part of this exciting journey into the future of AI-driven robotics!
Position Overview:
As a Data Collection Specialist at Dyna Robotics, you will play a crucial role in enhancing our AI systems by generating high-quality and diverse datasets. Your contributions will directly impact the precision and efficiency of our robotic arms. Collaborating closely with our engineering and research teams, you’ll ensure that the data collected meets the highest standards for quality and relevance. This position is primarily on-site at our Redwood City, CA headquarters, and we seek individuals who excel in dynamic, hands-on environments. Top performers may be considered for full-time positions based on their performance and team requirements.
Key Responsibilities:
Operate robotic arms to execute a variety of tasks through manual control (Teleoperation).
Ensure data integrity by accurately annotating recorded data.
Generate comprehensive reports on robot performance to support data analysis and task refinement.
Qualifications:
Associate's or Bachelor's degree in a relevant field or equivalent practical experience.
Exceptional attention to detail and manual dexterity.
Ability to stand and engage in physical tasks for extended periods.
Capable of following detailed instructions and working independently with minimal oversight.
Strong communication skills and a collaborative mindset.
Preferred Qualifications:
Experience with robotic systems, teleoperation, or related fields.
Familiarity with data annotation tools and methodologies.
Understanding of AI and machine learning principles is a plus.
