Orthopaedic Surgeons 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.

• 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.

• 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

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

• You will work as an independent contractor.

• 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.