Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.
Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.

SKILLS YOU WILL NEED TO BE SUCCESSFUL

• Experience with Blender, Jupyter notebooks and basic Python
• Experience with Linux operating system, shell scripts, and command line interface
• Attention to detail
  At Intrinsic, we don’t just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
  If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai

Are you passionate about democratizing robotics and making cutting-edge technology accessible for all? We are seeking a highly motivated and talented data quality specialist to join our dynamic team and contribute to the advancement of robot perception in an exciting job opportunity.
As a data quality engineer, you will help with annotating data and developing labeling tooling. This is critical for evaluating Intrinsic’s AI driven perception stack and ensuring we are production-ready for a wide range of real world applications. You will play a key role in reducing the marginal cost and effort required for new applications.
This role will involve collecting and annotating data representative of real world industrial applications, as well as improving our data collection and semi automatic annotation tooling to increase efficiency and reduce manual effort. You will work with a large dataset of annotated part instances and contribute to expanding it significantly.