Cardiac Electrophysiologist: AI Training & Evaluation Remote

Frontier AI Lab

United States

Remote

USD 110,000 - 393,000

Full time

3 days ago
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Job summary

Remotebridge seeks an experienced Cardiac Electrophysiologist to support AI training and evaluation projects focused on arrhythmias, electrophysiological diagnostics, and rhythm management. This is a remote independent contractor role offering hourly compensation and English at B2 or higher.

You will review AI-generated medical content, assess clinical scenarios, and provide evidence-based feedback to improve AI outputs. Prior EP practice and familiarity with implantable devices are preferred.

Qualifications

  • MD/DO or internationally equivalent medical degree.
  • Board certification in cardiology or equivalent specialist qualification.
  • Active or recent clinical practice in cardiac electrophysiology.
  • Experience diagnosing and managing cardiac arrhythmias and conduction disorders.
  • English proficiency at B2 level or above.

Responsibilities

  • Review AI-generated medical content related to cardiac electrophysiology.
  • Evaluate clinical scenarios involving arrhythmias, ECG interpretation, and rhythm disorders.
  • Assess medical reasoning related to pacemakers, implantable defibrillators, and catheter ablation.
  • Identify inaccuracies and provide evidence-based feedback to improve AI-generated clinical information.

Education

MD/DO or internationally equivalent medical degree
Board certification in cardiology or equivalent
Specialized training in cardiac electrophysiology
Active or recent clinical practice in cardiac electrophysiology
English proficiency at B2 level or above

Job description

Remotebridge seeks an experienced Cardiac Electrophysiologist to support AI training and evaluation projects focused on arrhythmias, electrophysiological diagnostics, and rhythm management. This is a remote independent contractor role offering hourly compensation and English at B2 or higher.

You will review AI-generated medical content, assess clinical scenarios, and provide evidence-based feedback to improve AI outputs. Prior EP practice and familiarity with implantable devices are preferred.

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