Hiring: Medical Imaging Annotation Specialist (Chest X-Ray / Radiology)Location: RemoteEngagement: Long-Term ContractIndustry: Medical Imaging / Healthcare AI / RadiologyWe are seeking experienced Medical Imaging Annotation Specialists with solid 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 OverviewAs 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.ResponsibilitiesReview 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 AnnotatedCandidates should be able to identify one or more of the following findings on chest X-rays:Pleural EffusionCardiomegalyAtelectasisConsolidationEdemaEmphysemaFibrosisHerniaInfiltrationMassNodulePleural ThickeningPneumothoraxEach image may contain none, one, or multiple findings.Required QualificationsMedical 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 BackgroundWe welcome applications from professionals such as:Consultant RadiologistsDiagnostic RadiologistsChest/Thoracic RadiologistsMD RadiologyDNB RadiologyRadiology Residents (with relevant experience)Medical Imaging SpecialistsMedical Imaging Annotation SpecialistsClinical Imaging ResearchersHealthcare AI Annotation ProfessionalsPhysicians with significant experience interpreting chest radiographsPreferred SkillsChest Radiography InterpretationThoracic ImagingMedical Image AnnotationDICOM Viewer ExperienceRadiology ReportingMedical Imaging AIClinical Quality ReviewJSON-based Annotation WorkflowsMedical Image Quality AssessmentHealthcare AI Data LabelingPilot EvaluationAs 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 EngagementCandidates who successfully complete the pilot and meet the required quality standards will be considered for the long-term project.How to ApplyIf 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 applyWhen applying, please include:Updated CV/ResumeCurrent designationYears of experience in Radiology or Medical ImagingExperience with Chest X-Ray interpretationExperience in medical imaging annotation (if applicable)Experience working with DICOM images or viewers (if applicable)LinkedIn profile (optional)[email protected]: +91-9064877846Qualified 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