Diagnostic Radiologist

About the role

We are seeking experienced Radiology Experts to contribute to an advanced AI research initiative in collaboration with a leading AI laboratory. This project focuses on improving AI systems' ability to interpret medical imaging accurately by leveraging the expertise of practicing radiologists. Rather than performing routine clinical reporting, you will use your professional judgment to evaluate AI-generated interpretations, create reference-standard reports, and establish high-quality evaluation criteria that reflect real-world radiology practice. Your expertise will directly contribute to the development of next-generation AI models for medical imaging.

Responsibilities

• Review de-identified diagnostic imaging studies across multiple imaging modalities.
• Produce accurate reference reports and identify clinically significant findings.
• Evaluate AI-generated radiology reports for diagnostic accuracy, completeness, and clinical relevance.
• Apply standardized reporting systems and measurement guidelines, including RECIST, BI-RADS, Lung-RADS, CAD-RADS, ASPECTS, and other specialty-specific frameworks.
• Identify inaccuracies, omissions, unsupported conclusions, and potential patient safety concerns in AI-generated interpretations.
• Develop challenging clinical cases that help improve AI diagnostic reasoning.
• Provide structured, evidence-based feedback to support AI model evaluation and refinement.

Requirements

Board-certified or board-eligible Radiologist (ABR, FRCR, EDiR, or equivalent international certification). Residents and fellows in advanced stages of radiology training may also be considered. Current or recent experience interpreting diagnostic imaging studies in a clinical setting.

Qualifications

Expertise in one or more radiology subspecialties, including:

• Neuroradiology
• Chest Imaging
• Abdominal Imaging
• Musculoskeletal Radiology
• Breast Imaging
• Cardiac Imaging
• Nuclear Medicine
• Pediatric Radiology

Strong understanding of structured reporting standards and clinical measurement protocols. Excellent written communication skills and attention to diagnostic detail.

Skills

Preferred Skills:

• Diagnostic Radiology
• CT, MRI & Ultrasound Interpretation
• Structured Reporting
• Medical Image Analysis
• Clinical Decision Making
• Quality Assurance & Peer Review
• AI Evaluation & Clinical Validation
• Evidence-Based Reporting
• Medical Documentation
• Healthcare AI Collaboration

Pay

Competitive compensation of $300–$400 per hour based on expertise and project requirements. Weekly payments via Stripe or Wise.

Schedule

Fully remote independent contractor role. Flexible work schedule with project-based assignments.

Benefits

High-performing contributors may receive opportunities for ongoing AI research engagements.