Grayder is a specialist network of doctors, scientists, and regulatory specialists who train and evaluate the models behind drug discovery, clinical trials, medical devices, and healthcare.
Job Overview
Annotate lung sound recordings and respiratory findings, and review AI model outputs, to help train and validate clinical biosignal algorithms for respiratory disease.
Full Description
We're seeking board-certified pulmonologists to annotate lung sound recordings and review AI-generated model outputs against expert judgment. This work trains and validates AI algorithms for lung sound analysis used in real clinical AI products. You will mark breath sound phase, quality, and adventitious findings using a provided rubric.
What You'll Do
- Listen to short lung sound recordings in the web workspace, with location/lung field noted for each.
- Mark inspiration and expiration phases and rate overall breath sound quality (normal, diminished, absent).
- Identify and annotate adventitious sounds - wheezes, crackles/rales, rhonchi, stridor, pleural rub - by timing, location, and quality.
- Label signal quality and overall normal versus abnormal classification.
- Review AI model outputs and mark where they are correct or incorrect.
- Apply the project-specific rubric and instructions consistently across recordings.