Annotate medical images. Remotely, at your rate.
GetData connects physicians with AI teams that need expert labels on CT, MRI, X-ray, pathology and clinical data. Apply once, set your hourly rate and availability, and we invite you to paid, remote projects that match your specialty.
Freelance medical data labeling, done properly
Your rate, your hours
Set your hourly rate and weekly availability. Accept only the projects that fit your schedule.
Work remotely
Annotate from anywhere. Projects run in secure, browser-based tools; no data lands on your device.
Meaningful AI work
Your labels train and validate medical AI that clinicians will rely on.
Verified network
We review every doctor and check licenses, so you work alongside qualified peers.
Physician AI annotation, by specialty
AI models are only as good as their labels. Each project comes with clear guidelines, a defined case volume and a budget you see before you say yes.
Remote radiologist annotation
Segment organs and lesions, draw bounding boxes and grade findings on CT, MRI, X-ray and ultrasound studies.
Digital pathology
Outline tumour regions, count and classify cells, and label tissue types on whole slide images.
Clinical text
Label diagnoses, medications and findings in de-identified reports and notes for medical NLP models.
Cardiology, ophthalmology & more
Annotate ECG and echo, grade fundus and OCT images, and review dermatology and dental photos.
Clinicians who read images every day
- Radiologists (CT, MRI, X-ray, ultrasound)
- Pathologists (histopathology, cytology)
- Cardiologists, neurologists, oncologists, dermatologists, ophthalmologists and dentists
- Residents, radiographers and senior medical students
How it works for annotators
- 1
Apply in a few minutes
Tell us your specialty, the modalities you read, the languages you work in, your availability and your hourly rate.
- 2
Confirm your email and browse
Confirm your email and sign in right away. Browse open requests to see what needs labeling.
- 3
Verify your license
Upload your license or diploma from your profile. Once our team verifies it, you can annotate.
- 4
Get matched to projects
When a request matches your expertise we send you the scope, volume and budget. You decide whether to take it.
Questions from doctors
Who can annotate medical data with GetData?
Specialists, residents, radiographers and senior medical students. Most projects need radiologists or pathologists for CT, MRI, X-ray and histopathology, and we also work with cardiology, dermatology, ophthalmology, neurology and dentistry.
How much can I earn?
You set your own hourly rate in EUR, USD or RSD when you register. We share each project's budget and scope before you accept, so you always know what you will be paid.
Can radiologists annotate remotely?
Yes. Remote radiologist annotation covers segmenting organs and lesions, drawing bounding boxes and grading findings on CT, MRI, X-ray and ultrasound studies in secure, browser-based tools.
What is physician AI annotation?
It is labeling medical data, such as images, slides or clinical notes, so AI models can learn from it. Models for diagnosis and triage need labels from physicians who read these cases every day, which is why AI teams pay for clinical expertise.
Is the work remote and flexible?
Yes. You annotate remotely and choose how many hours a week you are available. You can accept or decline every project we offer you.
Do I need annotation experience?
No, but it helps. Tell us which tools you have used (for example 3D Slicer, ITK-SNAP or CVAT) and roughly how many cases you have annotated. Your clinical expertise matters most.
How do you verify annotators?
You can sign in and browse requests as soon as you confirm your email. To annotate, upload your medical license or diploma from your profile; our team checks it against the licensing register before inviting you to projects.
What happens to patient data?
Annotators work only on de-identified data, never receive the original files, and only see the cases assigned to them. Every project runs under a confidentiality agreement.
Put your expertise to work on medical AI
Applying takes a few minutes. No commitment until you accept a project.