Clinically Accurate
Imaging Labels, Delivered
Radiologist- and pathologist-reviewed annotations for CT, MRI, X-ray, and whole-slide imaging — produced in DICOM-compatible workflows, double-read where it matters, with a documented adjudication trail.
- B-114deliveredPrimary read99.1% QA
- B-115deliveredSecond read98.6% QA
- B-116in qaAdjudication74%
- B-117runningClinical sign-off38%
Where healthcare AI teams build annotation programs that meet clinical and regulatory standards.
Clinical Expertise
Radiologists, pathologists, and trained annotators who understand imaging and clinical context
Any DICOM Tool
Work in any annotation platform, clinical viewer, or internal pipeline
All Imaging Types
CT, MRI, X-ray, ultrasound, digital pathology, and more
One Place to Deliver and
Manage Your Medical
Imaging Annotation Team
Everything you need to build an annotation team that delivers clinically accurate labels, at any scale, in any DICOM-compatible tool.
Medical Imaging Annotation — batches in flight
Work Happens in Your Tooling
Our annotation team work inside any annotation platform, clinical viewer, or internal pipeline. You control access and permissions. Your data never leaves your systems.
Communicate and Manage Work
Built-in chat, instruction sharing, and everything you need to manage your annotation team in one place. No separate apps required.
Secure Global Payments and Transparent Pricing
Pay our annotation team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
Scale Medical Imaging Annotation With Clinical Expertise
We get a shortlist of qualified our annotation team ready to start working in your annotation pipeline. What we deliver:
How ReinforcedX Works for Medical
Imaging Annotation
Create your account, scope a project, and bring experienced annotators into your annotation tools so you can start labeling fast.
Send Us the Spec
Describe your imaging modality, annotation type, and required expertise. Receive proposals from our annotation team with relevant clinical or annotation experience.
We Work In Your Annotation Tools
We agree the spec, then run delivery inside your DICOM viewer, annotation platform, or internal pipeline.
Communicate and Pay in One Place
Share guidelines, message your team, and handle global payments from a single dashboard.
Post Your Medical
Imaging Annotation
Job Now
Send us a sample batch and we will come back with a spec and a quote.
Large Project? We
Can Help.
A standing programme, run end to end, for continuous or large-volume work.
Start Building Your Medical
Imaging Annotation Team Today
Send us your first batch and get radiologists, pathologists, and trained annotators.
Medical Imaging Annotation Workspace
Track delivery
Where Healthcare AI Teams Scale Medical Imaging Annotation
The largest network of medical imaging annotation specialists, ready to work in any DICOM-compatible workflow.
FAQs about Delivery for Medical Imaging
Quick answers to common questions.
What kinds of medical imaging annotation do you deliver?
The full range for medical imaging annotation: we scope the task types with you at kickoff, produce them against your schema, and QA every batch before it reaches you. If a task type is unusual, we pilot it on a small batch first so you can judge the output before committing volume.
What imaging modalities do your annotators cover?
CT, MRI, X-ray, ultrasound, and whole-slide pathology imaging. Work happens in DICOM-compatible tooling, and outputs are returned in the format your training pipeline expects.
Which tools do you work in?
We work inside whatever you already run — Label Studio, CVAT, V7, Argilla, Prodigy, or your own internal tooling. You control access and permissions, your data stays where it is, and the medical imaging annotation output lands in your system rather than ours.
What level of clinical expertise reviews the work?
Board-certified radiologists and pathologists perform the primary read, with a second specialist read on anything that will be used for validation. Adjudication is documented, so you can show a reviewer exactly how a disputed label was resolved.
How does pricing work for medical imaging annotation projects?
Medical imaging annotation is priced per delivered unit against an agreed quality bar, or as a fixed monthly fee for a standing programme. You get the full number in writing before work starts, and you are not billed for batches that fail QA.
What is the difference between a single batch and a managed programme?
A single batch is one scoped delivery: we agree the spec, produce it, QA it, and hand it back. A managed programme is a standing pipeline against your roadmap — same team, recurring volume, quality reported weekly, and a named engineer who stays with the account.
Deliver for Any Medical Imaging Annotation Tool
Deliver our annotation team on ReinforcedX, then invite them to any DICOM-compatible annotation platform or your own clinical viewer.
Join the #1 Platform for AI Delivery
Three ways to work with us, from a single batch to a standing programme.
Scope Your Project
Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.
Done-for-You
We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.
Join as an delivery lead
Keep a standing delivery pipeline running against your roadmap, with quality reported every week.
Working with us
How soon can medical imaging annotation work start?
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
What do you need from our team?
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
Who owns the output and the data?
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Can you scale volume up quickly if we need it?
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
We already have a vendor for this. Why switch?
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
What happens after the engagement ends?
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.