Radiologists required for AI Project (CT Scans) - US
AI Summary
Board-certified radiologists review and refine pre-annotated liver tumor and ablation zone segmentations in CT scans to train and validate AI models for liver cancer detection and ablation assessment.
About this role
Mentis AI is recruiting U.S based, board-certified Radiologists to participate in an AI review project focused on liver tumor and ablation zone segmentation in CT imaging.
This is a opportunity for experienced radiologists to play a direct role in shaping how AI identifies, delineates, and interprets liver tumors and ablation zones with real implications for how these systems will perform in clinical practice.
As part of this project, you'll collaborate with AI researchers to review, evaluate, and refine pre-annotated CT segmentations used to train and validate AI systems operating in oncologic and interventional radiology settings. Your clinical expertise is essential to ensuring the platform is accurate, safe, and grounded in real-world interventional reasoning.
This role is fully remote, flexible, and well-suited to interventional radiologists balancing existing clinical, academic, or research commitments.
About Mentis AI
At Mentis AI, we help companies build the next generation of clinically grounded artificial intelligence. We work directly with specialist clinicians to ensure AI is safe, accurate, and aligned with how medicine is truly practised.
As a clinical expert contributor, you'll have hands-on exposure to frontier AI model development in oncologic imaging, partnering with researchers and fellow clinicians to directly influence the future of liver cancer detection, treatment planning, and ablation assessment technology.
Project Overview
Radiologists will be given access to a curated liver CT dataset on a dedicated annotation platform and tasked with the following:
Segmentation Review: Systematically review pre-annotated liver tumor and ablation zone segmentations across CT cases, assessing each for clinical and anatomical accuracy.
Approval & Correction: For each case, either approve the existing segmentation or apply corrections where the annotation does not meet clinical standards. Each reviewed case receives a status of Approved, Corrected, or Excluded, alongside a difficulty score rated on a Likert scale from 1 to 5.
Requirements
Board certification in Radiology in the United States:
Liver Radiologist
Abdominal Radiologist
Radiologist with Hepatic Oncology Focus (HCC/CRLM)
Fellowship-Trained Abdominal / Oncology Radiologist
Minimum 5 years clinical experience in radiology post board certification
Strong proficiency in interpreting hepatic CT imaging, including pre- and post-ablation assessment
Excellent analytical skills with high attention to anatomical detail and clinical accuracy
Comfortable working independently and asynchronously in a remote environment
What We Offer
Flexible scheduling compatible with existing clinical or academic commitments
Fully remote participation from anywhere in the United States
Competitive compensation, paid on an hourly basis
Skills
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