Summary: The Associate Professor of Radiology role is a fully remote position focused on enhancing AI model training through the review and interpretation of diagnostic imaging. Candidates will create diagnostic questions, evaluate AI outputs, and provide structured feedback to improve AI accuracy in medical imaging. This role allows for flexible scheduling and is open to current practicing radiologists, fellows, or recent residents. The position emphasizes clinical imaging experience and strong clinical reasoning skills.
Key Responsibilities:
- Review and interpret diagnostic imaging (CT, MRI, X-ray, Ultrasound) cases for AI training
- Create and validate clinical radiology-based questions with structured reasoning
- Evaluate AI-generated radiology reports for diagnostic accuracy and clinical logic
- Provide detailed feedback to enhance AI model performance and reliability
Key Skills:
- Radiology experience and clinical experience
- Current practicing radiologists, fellows, or recent residents welcome
- Strong clinical reasoning, attention to detail, and written English proficiency
- Comfortable with remote digital platforms for image review and annotation
Salary (Rate): £96.00 hourly
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Associate Professor of Radiology (Remote)
Locations: 100% Remote : United States, Canada, United Kingdom, Australia, Puerto Rico, Mexico, New Zealand, Argentina, India, Colombia, Brazil, Netherlands, France, Ireland, Germany, Spain, Denmark, Sweden, Norway, Finland, Switzerland, Italy
Compensation: Up to USD 120/hour
We are looking for a "Associate Professor of Radiology" with clinical imaging experience contribute to advanced AI model training by creating diagnostic questions, reviewing AI outputs, and providing structured feedback. This flexible remote work enhances AI accuracy in medical imaging interpretation while fitting alongside clinical practice.
Key Responsibilities
- Review and interpret diagnostic imaging (CT, MRI, X-ray, Ultrasound) cases for AI training
- Create and validate clinical radiology-based questions with structured reasoning
- Evaluate AI-generated radiology reports for diagnostic accuracy and clinical logic
- Provide detailed feedback to enhance AI model performance and reliability
Essential Qualifications
- Radiology experience and clinical experience
- Current practicing radiologists, fellows, or recent residents welcome
- Strong clinical reasoning, attention to detail, and written English proficiency
- Comfortable with remote digital platforms for image review and annotation
Project Benefits
- Fully remote with flexible scheduling (5-40 hrs/week)
- High hourly compensation with weekly international payments
- Exposure to cutting-edge AI medical imaging development
- No clinical liability, patient interaction, or emergency coverage required
Equal Opportunity
All qualified applicants are welcome regardless of protected characteristics. Selection based solely on radiology expertise, clinical experience, and project requirements per applicable laws.
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