Orthopaedic Surgeons required for X-Ray (Knee) AI Project

We are seeking orthopaedic surgeons who actively perform and have experience in Partial and Unicompartmental Knee Replacement (PKR/UKR) surgeries to annotate and label X-rays of knees. To help create expert “gold standard” training data that will train and validate AI models that will be deployed in orthopaedic pathways.

Key Responsibilities:

- TASK 1 - Full Thickness Lateral Cartilage: Surgeons will review knee x-rays on a dedicated labeling platform and classify the cartilage as either 'Full thickness', 'Lateral narrowing', or 'Bad quality x-ray'.

- TASK 2 - ACL Review: Surgeons will review knee x-rays on a dedicated labeling platform and classify the ACL as either 'Functional ACL', 'Absent ACL', or 'Bad quality x-ray'.

- Follow structured guidelines to ensure consistency, inter‑rater reliability and high‑fidelity gold standards for downstream annotators.

Qualifications:

- Orthopaedic surgeon with full license to practice (GMC or equivalent)

- Minimum of 3 years experience in knee replacement surgeries

- Professional working english and speaking for deliverables

- Desirable - Previous experience in data labeling

Legal Status:

- You will have the right to work in your country of residence.

- You will work as an independent contractor.

Why Join Us?

- Flexible Work Arrangements: Part-time and remote work options available.

- Competitive Compensation: Hourly compensation in line with level of clinical experience.

- Professional Development: Gain hands-on experience in data labelling, AI model fine-tuning and evaluating AI generated outputs in orthopaedics.