Surgical Video Labeling Engineer (AI-assisted)

CMR Surgical Ltd.; Cambourne; Hybrid; GBP 30,000 - 42,000; Full time

Benefits offered by this job

Bonus

Pension

Healthcare

Enhanced global parental leave

Job summary

CMR Surgical Ltd. in the United Kingdom is seeking a Data Labelling Engineer to help build high‑quality labelled datasets of surgical video for our Applied AI team.

You will label and review footage yourself and use Python and existing AI models to automate as much as possible, ensuring labels are accurate and scalable. You'll collaborate with senior engineers, clinical experts and our Quality and Regulatory teams, own well‑defined pieces of work, and keep clear records of how datasets are built

Qualifications

• Proven experience processing and labeling image or video data.
• Familiarity with computer vision concepts (detection/segmentation/tracking).
• Comfortable using Python for data processing and automation.
• Ability to document work clearly and work independently.

Responsibilities

• Labelling and review of surgical video with defined definitions.
• Develop tooling to prepare video data and move labels across systems.
• Track labeling speed and accuracy, compare AI-assisted vs manual labeling.

Skills

Python

NumPy

Pandas

OpenCV

Git

Data processing

Image/video data

Education

Degree in computer science, engineering, data science or related STEM

Tools

CVAT

Label Studio

Docker

SQL

Linux

Cloud storage

Job description

CMR Surgical Ltd. in the United Kingdom is seeking a Data Labelling Engineer to help build high‑quality labelled datasets of surgical video for our Applied AI team.

You will label and review footage yourself and use Python and existing AI models to automate as much as possible, ensuring labels are accurate and scalable. You'll collaborate with senior engineers, clinical experts and our Quality and Regulatory teams, own well‑defined pieces of work, and keep clear records of how datasets are built