Location: Northern America and Germany. micro1 is engaging Senior AI Trainers to collaborate on a customer-driven project enhancing AI system quality through expert-level model training and evaluation.
Radiology Annotation - MD/DNB
Job description
About the Opportunity
Annotate the clinical findings as specified in the radiology report to the corresponding regions
in the imaging study (CT, MRI, or X-ray).
A report phrase (text) — the exact wording from the radiologist's report describing one specific finding.
• An imaging region (visual evidence) — a bounding box (or segmentation, where supported) drawn on the
image at the location of that finding.
The final deliverable is a dataset where every annotated region maps one-to-one to a specific report statement
describing a single finding.
Requirements
MD Radio Diagnosis
DNB Radio Diagnosis
Associated Projects
Bound Box Annotation - CT/MR/X-Ray
Annotate the clinical findings as specified in the radiology report to the corresponding regions
in the imaging study (CT, MRI, or X-ray).
A report phrase (text) — the exact wording from the radiologist's report describing one specific finding.
• An imaging region (visual evidence) — a bounding box (or segmentation, where supported) drawn on the
image at the location of that finding.
The final deliverable is a dataset where every annotated region maps one-to-one to a specific report statement
describing a single finding.
Payout: INR 40 - 500 (per_task)
POCUS Annotation - Chest Sonography
The radiologist is supposed to do marking of the imaging findings suggestive of Tuberculosis (TB) or Pneumonia in lung ultrasound cases. Each case comprises still images and cine loops, which will be annotated using a software platform. The annotation workflow follows the cine loops from the Volume Sweep Imaging (VSI) followed by still images as per the 14-point Lung Ultrasound taxonomy and includes Mediastinal sweeps for paediatric TB cases.
Payout: INR 1200 - 2100 (Patient File)
Compensation Structure: INR 40 - 2100 (per_task)
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