More jobs:
Travel X-Ray Tech in Tulsa, OK
Job in
Norman, Cleveland County, Oklahoma, 73019, USA
Listed on 2026-09-14
Listing for:
AlliedTravelCareers
Full Time
position Listed on 2026-09-14
Job specializations:
-
Doctor/Physician
Radiologist
Job Description & How to Apply Below
Expert Contributor - Radiologist
Task-Based Independent Contractor Opportunity
OverviewWe're looking for Radiology experts who can design and solve challenging, real-world reasoning tasks that test the limits of advanced AI systems. You'll create high-quality radiology problems, develop rigorous solutions, and help identify exactly where models fall short in clinical and diagnostic reasoning. The focus is on graduate-level difficulty, diagnostic precision, and reproducible evaluation. If you thrive on building nuanced diagnostic scenarios and evaluating complex imaging interpretations, this opportunity is calling your name.
Key Responsibilities- Design complex, multi-step diagnostic reasoning problems with precise, fully worked interpretations and clinical decision pathways.
- Evaluate AI-generated diagnostic reasoning and identify where models produce incorrect or incomplete analyses.
- Create problems spanning CT, MRI, X-ray, ultrasound, and nuclear medicine imaging modalities.
- Develop reproducible evaluation criteria and grading rubrics for each diagnostic scenario.
- Review and critique competing diagnostic conclusions across multi-turn evaluation sessions.
- Collaborate asynchronously with the project team on clinical accuracy and difficulty calibration.
- Deep fluency in Radiology, with the ability to create complex, multi-step diagnostic reasoning problems and produce precise, fully worked interpretations.
- Proficiency with imaging modalities including CT, MRI, X-ray, ultrasound, and nuclear medicine, as well as PACS and relevant diagnostic software.
- Strong review instincts with the ability to identify subtle diagnostic errors and evaluate competing conclusions.
- MD with Radiology residency completion, fellowship, or equivalent; board-certified or board-eligible candidates strongly preferred.
- Background in academic radiology, residency/fellowship instruction, case-based curriculum design, or clinical research.
- Familiarity with board exam-style question design (A , FRCR, or equivalent).
- Experience evaluating AI-generated diagnostic reasoning or working with AI-assisted imaging tools.
- Published research in a peer-reviewed radiology or medical imaging journal.
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