Data Annotator

Horizon Surgical Systems, Inc.•Los Angeles, CA

19h•$60,000 - $80,000

About The Position

Horizon Surgical Systems Inc. is revolutionizing the world of surgical ophthalmology by developing a novel, AI driven, and imaging-guided surgical robotic system. Horizon Surgical Systems Inc. aims to expand access to care, provide superior capabilities to the human surgeon, and enhance patient outcomes. Microsurgery in general and Ophthalmology are subfields of surgery for which the surgical outcomes can be significantly improved by robotic systems to allow superior dexterity, precision, accuracy, and visualization beyond the human surgeon’s own capabilities. We are seeking highly motivated, and intellectually inquisitive individuals looking to make a positive impact on healthcare via the development of robotic technology. The core values of Horizon Surgical Systems Inc. are: Commitment to Excellence: We aim to deliver superior patient outcomes and surgeon experiences Passion for Creativity and Innovation: We are driven by new ideas and aim to push the boundaries of what's possible Teamwork and Camaraderie: We achieve our best when we collaborate and work together Welcoming of Critical Opinion: We are enriched by constructive criticism and support the best ideas Personal Accountability: We honor our commitments and take responsibility for our actions Horizon Surgical Systems Inc. offers: An opportunity to build autonomous surgical robotic systems driven by image guidance and AI technology for the future of affordable, high-quality healthcare. The opportunity to work alongside clinicians, engineers, and global leaders in cutting-edge AI, imaging, and robotics technology.

Requirements

Bachelor’s degree
CS or Biology background preferred
Good computer knowledge and skills.
Proficiency in working with Linux and/or Windows OS.
Proficiency in English and English grammar.
Strong attention to detail, analytical, problem-solving, and organizational abilities.
Good communication skills to collaborate with interdisciplinary teams, including software engineers, hardware engineers, clinicians, and project managers.
Ability to find patterns between complicated data, then organize and present that data.

Responsibilities

Review and analyze labeled surgical data.
Create and edit labeling tutorials and guidelines.
Assist with training contracted labelers.
Communicate information effectively and efficiently to contracted labeling companies.
Process and select data for labeling.