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Remote Heart Sound and ECG Annotation Specialist

Remote · India · United Kingdom · United States Hourly Rolling start $50–$100/hr
Overview

Annotate heart sound recordings and ECG strips, and review AI model outputs, to help train and validate clinical biosignal algorithms

About this job

We're seeking board-certified cardiologists to annotate heart sound recordings synced with ECG strips, and to review AI-generated model outputs against expert judgment. This work trains and validates AI algorithms for heart and lung sound analysis used in real clinical AI products. You will mark cardiac cycle timing, murmur characteristics, and rhythm using a provided rubric, with a short paid calibration set before full project access.
Your annotations directly shape how these biosignal models learn to detect and characterize cardiac findings.

What you'll do
  • Listen to 15-second heart sound recordings with a synced ECG strip in the web workspace.
  • Mark S1, S2, systole, and diastole, and annotate murmurs by timing, shape, grade, pitch, and quality.
  • Label signal quality, murmur presence, innocent versus structural classification, and rhythm.
  • Review AI model outputs and mark where they are correct or incorrect.
  • Occasionally act as adjudicator when other annotators disagree.
  • Complete a short paid calibration set before starting full project work.
  • Apply the project-specific rubric and instructions consistently across recordings.
Required skills
CardiologyInterventional CardiologyRespiratory / PulmonologyCardiothoracic Surgery
Who can apply
  • Field of study: Cardiology, Cardiothoracic Surgery, Pulmonology / Respiratory Medicine
  • Located in India · United Kingdom · United States
About grayder

Life science AI is only as good as the experts who train it.

A vetted network of doctors, scientists, and regulatory specialists who train and evaluate the models behind drug discovery, clinical trials, medical devices, and healthcare. Remote, flexible, matched to your field.

What specialists do

  • Annotation — labelling clinical text, imaging and molecular data
  • Model evaluation — scoring outputs against expert standards
  • Rubric design and execution
  • Fine-tuning data — writing expert responses
  • Q&A sets, summaries and reports

Why specialists join

  • Work matched to your speciality
  • Remote and flexible — on your own schedule
  • Credentialed by your peers
  • Meaningful impact on healthcare AI
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