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 prospect 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.

Strong 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)

Linked In profile (optional)

sajid.ahmed@

Whats App: +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