Hiring: Medical Imaging Annotation Specialist (Chest X-Ray / Radiology)
Location: Remote
Engagement: Long-Term Contract
Industry: Medical Imaging / Healthcare AI / Radiology

We are seeking experienced Medical Imaging Annotation Specialists with strong expertise in Chest Radiography (Chest X-Rays) to support a long-term AI data annotation project focused on medical imaging.

This opportunity is ideal for professionals with hands-on experience in interpreting chest radiographs and identifying radiological findings with a high degree of accuracy.
Role Overview
As a Medical Imaging Annotation Specialist, you will review chest X-ray images and accurately identify predefined radiological findings. Your annotations will contribute to the development and evaluation of advanced AI systems used in medical imaging.

This role requires strong clinical knowledge, attention to detail, and experience working with chest radiographs. Familiarity with medical imaging workflows and DICOM files is highly preferred.

Responsibilities
Review chest X-ray (CXR) images and identify all applicable radiological findings.
Accurately annotate images according to detailed project guidelines.
Create structured JSON outputs for each annotated image.
Ensure annotations are clinically accurate, consistent, and complete.
Follow quality assurance standards and annotation protocols.
Work independently while meeting project timelines and quality expectations.
Participate in pilot evaluations and ongoing quality reviews.

Findings to be Annotated
Candidates should be able to identify one or more of the following findings on chest X-rays:
Pleural Effusion
Cardiomegaly
Atelectasis




Consolidation
Edema
Emphysema
Fibrosis
Hernia
Infiltration
Mass
Nodule
Pleural Thickening
Pneumothorax
Each image may contain none, one, or multiple findings.

Required Qualifications
Medical degree or equivalent healthcare qualification with relevant radiology experience.
Demonstrated experience interpreting Chest X-Ray (CXR) images.
Experience in radiology reporting, medical imaging analysis, or medical image annotation.
Strong understanding of thoracic anatomy and common chest pathologies.
Excellent attention to detail and commitment to high-quality annotation.
Ability to follow structured annotation guidelines and deliver consistent outputs.
Robust written English communication skills.

Preferred Background
We welcome applications from professionals such as:
Consultant Radiologists
Diagnostic Radiologists
Chest/Thoracic Radiologists
MD Radiology
DNB Radiology
Radiology Residents (with relevant experience)
Medical Imaging Specialists
Medical Imaging Annotation Specialists
Clinical Imaging Researchers
Healthcare AI Annotation Professionals
Physicians with significant experience interpreting chest radiographs

Preferred Skills
Chest Radiography Interpretation
Thoracic Imaging
Medical Image Annotation
DICOM Viewer Experience




Radiology Reporting
Medical Imaging AI
Clinical Quality Review
JSON-based Annotation Workflows
Medical Image Quality Assessment
Healthcare AI Data Labeling

Pilot Evaluation
As part of the evaluation process, shortlisted candidates will be invited to complete a five-image pilot assessment .
The pilot consists of reviewing five chest X-ray PNG images, identifying all applicable findings, and submitting one JSON file for each image based on the provided annotation guidelines.

Please note:
The pilot is conducted solely for quality evaluation.
The pilot is unpaid.
Detailed annotation guidelines and output specifications will be shared with shortlisted candidates before the assessment.

Long-Term Engagement
Candidates who successfully complete the pilot and meet the required quality standards will be considered for the long-term project.

How to Apply
If you have experience in chest radiography, radiology reporting, or medical imaging annotation and are interested in contributing to a large-scale healthcare AI initiative, we encourage you to apply
When applying, please include:
Updated CV/Resume
Current designation
Years of experience in Radiology or Medical Imaging
Experience with Chest X-Ray interpretation
Experience in medical imaging annotation (if applicable)
Experience working with DICOM images or viewers (if applicable)
LinkedIn profile (optional)

[email protected]

WhatsApp: +91-(phone hidden)

Qualified candidates will be contacted with further details regarding the pilot assessment and next steps.

📌 Medical Imaging Annotation Specialist (Chest X-Ray / Radiology) (Mumbai)
🏢 MyRemoteTeam
📍 Mumbai