Data Annotator

Horizon Surgical Systems, Inc.

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Los Angeles, California Until 8/31/2026 H-1B sponsor history First posted July 2, 2026 Last posted July 2, 2026
Job description

Open Position – Data Annotator

Horizon Surgical Systems Inc.

 

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.
  • Competitive compensation and an excellent company-paid benefits package.

 

Role:

In your role as a data annotator at Horizon Surgical Systems, you will help process, organize, and review various types of data, create tutorials and guides to assist with training personnel regarding our data and processes, annotate various kinds of data, and assist with managing contracted labeling companies.

Required Qualifications and Abilities:

  • Educational Background:
    • Bachelor’s degree
    • CS or Biology background preferred
  • Technical Skills:
    • Good computer knowledge and skills.
    • Proficiency in working with Linux and/or Windows OS.
    • Proficiency in English and English grammar.
  • Soft Skills:
    • 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.

This is an exciting opportunity to join a high-tech startup that is poised to revolutionize surgical robotics in ophthalmology. 

 

The base salary range for this role is $60,000–$80,000, in addition to a performance-based annual bonus, equity (stock options), a comprehensive benefits package, and a generous PTO policy.

About this role

Summary

Review and analyze surgical data, create tutorials, and assist with data processing.

Job title

Data Annotator

Experience level

entry level

Industry

healthcare

Location requirements

Los Angeles, California; remote work not specified.

Salary

$60k–$80k

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

computer skillsLinuxWindowsEnglishattention to detailcommunication

Preferred skills

biologyCSproblem-solvingorganization

Specializations

data annotationtrainingdata reviewguidelines
Locations

Structured locations inferred from the posting.

Los Angeles, CA, USA

On-site City