Key Responsibilities:
- Define process and best practices for muscle segmentation.
- Segment and annotate musculoskeletal muscles using provided tools and guidelines.
- Define segmentation standards, metrics and handling times for images.
- Provide input on tooling and supporting tooling usage for other annotators.
- Lead Quality Assurance for the project. Define and run quality assurance processes.
- Ensure high-quality, accurate labeling based on MSK knowledge across all images. Arbitrate submissions by other experts.
- Collaborate with the AI team to provide input on data quality and interpretation.
- Support recruitment of other experts to support the project.
Required Qualifications:
- Must be a radiologist, sonographer, or clinical anatomist with hands-on experience in ultrasound-based muscle segmentation for ground-truth data labelling.
- Strong understanding of musculoskeletal anatomy
- Interest in supporting innovative, real-world AI applications
- Detail-oriented with the ability to follow structured protocols
- Strong written English to create guidelines, documentation and provide reports on segmentation activities.