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Medical Imaging Safety Evaluator

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: AI Trainer Jobs
Part Time position
Listed on 2026-10-04
Job specializations:
  • Doctor/Physician
Salary/Wage Range or Industry Benchmark: 75 - 110 USD Hourly USD 75.00 110.00 HOUR
Job Description & How to Apply Below
About the role

Medical Imaging Safety Evaluator is a remote clinical-review track for evaluating AI outputs that touch clinical review. 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: $75–$110 / hr
·

Location:

Remote — US-eligible
· Contractor

Medical Imaging Safety Evaluator is a remote clinical-review track for evaluating AI outputs that touch clinical review.

Responsibilities
  • Review AI outputs against current clinical review clinical guidelines and standard of care for Medical Imaging Safety Evaluator 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.

    Track Healthcare review Work model Remote
    · Independent specialist contractor Compensation Hourly rate confirmed after the interview process. Eligible from US
What you should bring
  • Active or recent license / board certification in clinical review or an adjacent specialty for Medical Imaging Safety Evaluator 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.
Example tasks
  • Grade a model's differential-diagnosis reasoning on a clinical review 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

Hourly rate confirmed after the interview process.
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
  • Clinical review
  • Patient safety
  • Guideline reasoning
  • Medical
  • Imaging
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