Radiologist SME for AI Imaging Review and Content
Listing checked September 4, 2026 · pay as published by SME Careers
Overview
This remote, hourly contract places you as a Radiology SME to review AI-generated imaging responses and to craft expert content across modalities such as CT, MRI, and ultrasound within a secure PACS workflow. You will assess accuracy, safety, and reasoning in step-by-step clinical problem solving, delivering precise written feedback on imaging appropriateness, differential diagnosis, and protocol choices. The role emphasizes prudent judgments around contrast use, radiation dose, and pregnancy considerations, with meticulous attention to missed findings and clear explanations. You will collaborate remotely, contributing to AI model evaluation, training data improvements, and peer review workflows to help shape leading radiology content and AI solutions.
What You'll Do6
- 1Review AI-generated radiology responses and provide structured feedback on accuracy, safety, and clinical reasoning within the PACS workflow.
- 2Create expert imaging content and prompts, including gold-standard answers, across imaging appropriateness, protocol choices, differential diagnosis, and radiology reporting.
- 3Rank and critique AI outputs, proposing precise edits to improve correctness and contextual fit.
- 4Fact-check imaging and clinical data, verifying consistency from the clinical story to the chosen modality, the observed findings, and the final impression.
- 5Produce high-quality explanations and model solutions that demonstrate clear reasoning for radiology cases.
- 6Participate in QA and peer-review processes for AI data, including bias checks and safety guidelines.
Requirements8
- 1MD/DO with completed Radiology residency (Diagnostic Radiology) and board eligibility/certification.
- 25+ years of professional radiology practice.
- 3Strong clinical reasoning translating clinical presentations into imaging strategy and constructing differentials.
- 4Deep understanding of imaging modalities and tradeoffs including sensitivity, specificity, artifacts, and protocol impacts.
- 5Excellent safety judgment around contrast safety, nephrotoxicity risk, and radiation dose principles; pregnancy considerations.
- 6Attention to detail with ability to identify unsafe assumptions, missed diagnoses, or misleading explanations; minimum C1 English.
- 7Comfort evaluating internal consistency from clinical story to modality, findings, impression, and patient-safety implications; remote work experience preferred.
- 8Prior experience with AI data training/annotation, report QA, peer review, utilization management, or medical editorial work strongly preferred.
Who Should Apply
Ideal candidates hold an MD/DO with completed radiology residency and are board-certified or eligible, with 5+ years in diagnostic radiology. They should demonstrate solid clinical reasoning and a track record in AI data training or QA. This role suits radiologists who are comfortable working in a remote, hourly contract and can deliver consistent, high‑quality feedback across time zones. Candidates without board certification or without prior AI QA experience may score lower for fit and impact in the role.
Salary Insight
Pay: $0-$120/hr. This remote hourly contractor role aligns with experience and subspecialty needs; compensation scales with project scope and expertise.
Pay and demand for AI Training roles
AggregatedTypical pay
$70/hour
This role
up to $120/hr
Most AI Training roles pay $40–$95 per hour. This role's pay sits above that range.
Based on 975 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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- llm evaluation12%
- data annotation11%
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Compensation
Up to $120/hr
Required Skills
Application Tip
Highlight any AI data training or QA work, and include a concise sample explanation for a common imaging scenario that shows clear stepwise reasoning and correct imaging choices.
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