Domain Expert - Radiology (Visage 7 Research)

AI Trainer Jobs

United States

Remote

USD 138,000 - 179,000

Part time

5 days ago
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Job summary

AI Trainer Jobs is seeking a Domain Expert - Radiology for a remote clinical-review track evaluating AI outputs in radiology. You will review model results, assess differential reasoning, and document corrected reasoning to help improve AI systems.

Responsibilities include rating model outputs against radiology guidelines, flagging safety issues, and providing structured assessments. A license in radiology and ability to work asynchronously at least 10 hours/week are required.

Qualifications

  • Active or recent license / board certification in radiology or an adjacent specialty.
  • Hands-on clinical experience reading patient cases and writing structured assessments.
  • Clear written reasoning that cites guidelines, evidence, or standard of care.
  • Reliable async availability for at least 10 hours per week.

Responsibilities

  • Review AI outputs against current radiology guidelines and standard of care.
  • Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
  • Flag patient-safety issues with severity tags that match clinical-incident taxonomies.
  • Capture the corrected clinical reasoning so the modeling team can train on it.

Skills

Clinical reasoning
Guideline review
Patient-safety assessment
Structured clinical writing
Radiology

Job description

Domain Expert - Radiology (Visage 7 Research) is a remote clinical-review track for evaluating AI outputs that touch radiology. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.

Category: Medical & Clinical AI · Pay: $100–$130 / hr · Location: Remote — US-eligible · Contractor

Domain Expert - Radiology (Visage 7 Research) is a remote clinical-review track for evaluating AI outputs that touch radiology.

Role details

About the role

Domain Expert - Radiology (Visage 7 Research) is a remote clinical-review track for evaluating AI outputs that touch radiology. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap.
Radiology AI is only useful if a credentialed clinician would sign their name to the output. AuraOne uses licensed and credentialed reviewers to set the bar for clinical reasoning, dosing, and guideline adherence in regulated workflows.
Review clinical and biomedical AI outputs. Your safety judgment is the point.

Responsibilities

  • Review AI outputs against current radiology clinical guidelines and standard of care for Domain Expert - Radiology (Visage 7 Research) assignments.
  • Grade differential reasoning, dosing, and red-flag handling on a structured rubric.
  • Flag patient-safety issues with severity tags that match clinical-incident taxonomies.
  • Capture the corrected clinical reasoning so the modeling team can train on it.

What you should bring

  • Active or recent license / board certification in radiology or an adjacent specialty for Domain Expert - Radiology (Visage 7 Research) work.
  • Hands-on clinical experience reading patient cases and writing structured assessments.
  • Comfort applying multi-page rubrics consistently across long batches.
  • Clear written reasoning that cites guidelines, evidence, or standard of care.
  • Reliable async availability for at least 10 hours per week.

Role signals

Example tasks

  • Grade a model's differential-diagnosis reasoning on a radiology case and write a 2-3 sentence assessment.
  • Flag a dosing miscalculation with the right severity tag and corrected dose.
  • Adjudicate a disputed case between two reviewers using current specialty guidelines.
  • Audit a 25-case batch for rubric consistency and report drift to the program lead.

Useful experience

  • Prior work as a guideline reviewer, peer reviewer, or clinical educator.
  • Familiarity with AI-assisted clinical decision support and its failure modes.
  • Bilingual clinical experience for non-English patient cases.

Compensation and schedule

$100–$130 / hr
Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

Skills used in matching

  • Clinical reasoning
  • Guideline review
  • Patient-safety assessment
  • Structured clinical writing
  • Radiology
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