You will get Medical Image Annotation | DICOM, X-Ray, MRI, CT & Pathology Labeling
Rising Talent
Rising Talent
Project details
I will provide medical image annotation for Healthcare AI and clinical Machine Learning datasets, including DICOM files, X-rays, CT scans, MRI slices, ultrasound frames, pathology slides, retinal images, and segmentation masks. This service includes bounding box annotation, lesion labeling, organ segmentation, tumor masks, pathology labeling, anatomical landmark annotation, DICOM-SEG, NIfTI masks, PNG masks, anonymization support, QA review, and HIPAA-aware data handling.
Medical AI needs precise labels, consistent guidelines, and careful privacy practices. I can work from clinician-provided labeling instructions, reference examples, class definitions, and annotation protocols to create structured training data for radiology AI, pathology AI, ophthalmology, ultrasound analysis, organ segmentation, and healthcare model validation.
Deliverables can include DICOM-SEG, NIfTI, JSON, CSV, PNG masks, COCO, or custom formats. This catalog is ideal for healthcare AI teams, ML engineers, research groups, and clinical dataset projects that need secure, accurate, quality-reviewed medical annotation for AI model training and evaluation.
Medical AI needs precise labels, consistent guidelines, and careful privacy practices. I can work from clinician-provided labeling instructions, reference examples, class definitions, and annotation protocols to create structured training data for radiology AI, pathology AI, ophthalmology, ultrasound analysis, organ segmentation, and healthcare model validation.
Deliverables can include DICOM-SEG, NIfTI, JSON, CSV, PNG masks, COCO, or custom formats. This catalog is ideal for healthcare AI teams, ML engineers, research groups, and clinical dataset projects that need secure, accurate, quality-reviewed medical annotation for AI model training and evaluation.
What's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 2 | 4 | 6 |
Model Validation/Testing | - | - | - |
Model Documentation | - | - | - |
Data Source Connectivity | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$70 - $300Frequently asked questions
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ST
Sibling T.
Aug 14, 2026
Expert Computer Vision Data Annotator Needed for Image Annotation & Segmentation Projects
Muhammad did a good job as a Computer Vision Data Annotator. He delivered accurate and consistent annotations for bounding boxes, segmentation, and classification tasks. His attention to detail was strong, he followed annotation guidelines closely, and met deadlines without compromising quality. Reliable, focused, and easy to work with. Highly recommend Muhammad for any computer vision data labeling project.
MR
Muazzam R.
Aug 6, 2026
AI Data Annotation Specialist Needed and Computer Vision, NLP, RLHF & AI Training Data
Muhammad did an excellent job with AI data annotation. He delivered accurate, high-quality work, followed the project guidelines carefully, and completed the tasks on time. His attention to detail, professionalism, and clear communication made the collaboration smooth and efficient. I highly recommend Muhammad for AI data annotation projects and would be happy to work with him again.
About Muhammad
Computer Vision Data Annotator | Segmentation, Bounding Boxes, CVAT
100%
Job Success
Dera Ghazi Khan, Pakistan - 12:38 pm local time
I can follow your existing annotation guidelines or help identify unclear classes, edge cases, and labeling inconsistencies before full production begins.
Computer Vision services
• Image and video annotation
• Bounding boxes and rotated boxes
• Polygon annotation
• Semantic and instance segmentation
• Binary PNG mask creation
• Keypoint and landmark annotation
• Object tracking with consistent IDs
• Image classification
• OCR and document-layout annotation
• Dataset review, correction, and validation
Tools
CVAT, Label Studio, Labelbox, Roboflow, LabelImg, and client-provided platforms.
Delivery formats
COCO JSON, YOLO TXT, Pascal VOC XML, JSON, CSV, XML, and PNG masks.
Before starting, I review the class list, examples, required format, boundary rules, and edge cases. During production, I check missing objects, incorrect classes, loose boundaries, ID switches, and export errors.
You will receive organized files, consistent annotations, clear progress updates, and a dataset prepared for model training.
I also support selected NLP and LLM evaluation tasks, including text classification, response rating, and RLHF, when clear evaluation guidelines are provided.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Review Medical Dataset
I will review your medical imaging data, modality, target labels, clinical guidelines, privacy requirements, output format, and annotation scope before starting the healthcare AI labeling workflow and confirming safe handling requirements carefully.
Prepare Secure Workflow
I will organize de-identified files, set up labels, masks, classes, reference examples, DICOM or image viewers, segmentation tools, and QA rules while following your privacy, confidentiality, and handling instructions carefully throughout work.