Radiologist

Awign; Gokak; On-site; INR 670,000 - 1,228,000; Full time

Job summary

Awign is seeking top-performing radiologists in India to join a short-term annotation project. The role focuses on labeling coronary and renal arteries in CT and angiogram datasets, with emphasis on high-quality, frame-aligned annotations across modalities.

Experience in complex labeling tasks and proficiency with 3D Slicer are preferred. Start in December with delivery by January 15, and project-management support from US and Southeast Asia teams may be involved.

Qualifications

• Radiologists with solid experience in complex labeling tasks.
• Preference for experience using 3D Slicer for annotation tasks.

Responsibilities

• Expert-led annotation of coronary and renal arteries across CT and angiogram data.
• Cross-modality alignment for CT and angiogram images using internal standards.

Tools

3D Slicer

Job description

I have another request to probe. This is a small, but important project for us, with the following details:

• 2-3 Radiologists
• Start beginning of December, deliver by January 15th.
• Just labeling, no QC (that will be done by us)
• Flexible Time-zone: Project Management will be done by Project Managers in either/or US and South-East Asia.
• Tool: 3D Slicer

This is a project that we have already been engaged on for several months, but we need some additional radiologists for bandwidth purposes. This is a very complex task, which means we are looking for top-performing radiologists with solid experience in complex/in-depth labeling work and preferably with 3D Slicer.

1. Project Overview

The CRDN annotation project is a collaborative effort between XXXXXXX and Centaur Labs to annotate a dataset of XXX angiograms and corresponding CT scans.

The primary goal is to support AI model development for coronary and renal denervation procedures by generating high-quality, frame-aligned annotations across modalities.

Project Structure

Expert-led annotation of coronary and renal arteries

Cross-modality alignment between CT and angiogram images

Protocol-driven segmentation using internal standards and gold guidelines

3. Data and Annotation Types

3.1 Data Type

Attribute

Details

Modality CT (Computed Tomography) and Angiogram images

Format DICOM image sequences (cine loops) and static frames

Content Imaging of coronary and renal arteries, including calcium deposits

3.2 Annotation Types

Category

Details

Segmentation Polygon-based segmentation of anatomical structures in CT and angiogram images

Labeling Targets

• Coronary arteries
• Renal arteries
• Calcium deposits (if visible)