For Candidates
Make AI safer for patients
and get paid.
The clinical decision-support AI that will sit beside clinicians is being shaped right now — and it needs people who actually practise medicine. Lend your judgement to the tools clinicians will rely on, set the bar for what counts as safe, and get paid for every hour you give.
Task
Identify and correct every clinical error in this AI response. Consider NICE NG136.
AI response
For newly diagnosed hypertension, start medication immediately — amlodipine 10 mg is first-line for all patients. Reduce salt, exercise more, and recheck blood pressure annually.
Your correction
Offer lifestyle advice first. First-line drug depends on age and ethnicity (ACEi/ARB or CCB) — not amlodipine for all. Recheck within 1–4 weeks, not annually.
If you understand human health, AI companies need you.
Every clinical discipline owns a different slice of medical truth. Together they form the taxonomy that makes AI evaluation and training data trustworthy —
pick a profession to see how its judgement shapes the dataset.
Doctors shape the diagnostic and treatment backbone of medical AI.
Diagnostic reasoning is where medical AI is most confident and most often wrong. Doctors anchor the taxonomy at its hardest nodes — differential diagnosis, guideline-concordant treatment, and the judgement calls that separate a safe answer from a plausible one.
- Grade model answers against NICE, SIGN and specialty guidelines — catching the confidently-stated recommendation that quietly conflicts with first-line care.
- Build gold-standard reasoning traces: the differential, the red flags, the next investigation — so AI is trained on how clinicians actually think, not just final answers.
- Red-team clinical advice for the silent omissions — the missed safety-net, the un-asked question — that no automated metric will ever flag.
From Registration to Your First AI Role
Our verified onboarding pipeline matches your clinical expertise with the right AI opportunities.
Full name
Dr. Sarah Chen
s.chen@nhs.net
Specialty
Cardiology
Category
Doctor
01
Register
Create your account and select your professional category — doctor, nurse, pharmacist, researcher, academic, or allied health.
02
Verify Credentials
Complete your profile with your regulatory registration (GMC, NMC, GPhC, HCPC) and upload your credentials for verification.
Calibration score
94%Pass threshold · 80%
03
Get Trained & Calibrated
Work through our RLHF training academy and pass calibration exercises that benchmark your clinical judgement — certifying you for paid AI work.
Total Earned
£4,390
04
Get Matched & Start Earning
We match your verified expertise to AI projects and you start earning — RLHF training, clinical advisory, dataset annotation, or full-time roles.
Full name
Dr. Sarah Chen
s.chen@nhs.net
Specialty
Cardiology
Category
Doctor
01
Register
Create your account and select your professional category — doctor, nurse, pharmacist, researcher, academic, or allied health.
02
Verify Credentials
Complete your profile with your regulatory registration (GMC, NMC, GPhC, HCPC) and upload your credentials for verification.
Calibration score
94%Pass threshold · 80%
03
Get Trained & Calibrated
Work through our RLHF training academy and pass calibration exercises that benchmark your clinical judgement — certifying you for paid AI work.
Total Earned
£4,390
04
Get Matched & Start Earning
We match your verified expertise to AI projects and you start earning — RLHF training, clinical advisory, dataset annotation, or full-time roles.
Did you know
Today’s AI isn’t ready for clinical decision support.
No generative-AI system has been approved by the MHRA as a medical device for clinical decision support. Today’s large language models are trained on general data scraped from the open web — not the tacit clinical judgement built over years at the bedside. The only way to close that gap is to train and evaluate them against the clinicians who practise medicine today — and that is exactly the work we do.
Why you
Medical AI fails in ways only clinicians can catch.
A pharmacist spots the drug interaction. An ED doctor questions the triage. A nurse hears the false reassurance. Your clinical judgement is the reliability layer AI companies can’t build internally — and they pay for it.
Built for healthcare professionals
We specialise in clinician verification, training and calibration, and AI evaluation — so the clinicians in our network get the best chance at AI work that suits them, and the companies building that AI get judgement they can trust. We’re also creating in-house roles to curate the UK’s clinical AI evaluation dataset: a sovereign national asset, and a first-mover opportunity that exists nowhere else in the country.
Flexible Hours
Work around your clinical or academic schedule. Most roles offer 5-20 hours per week.
Premium Pay
Healthcare AI expertise commands £30-150/hr, paid per task — your clinical knowledge is uniquely valuable.
Verified Community
Every candidate is credential-verified. Companies trust our talent because we verify everyone.
No Tech Background Needed
AI companies need your medical expertise, not your coding skills. Training is provided.
Multiple Role Types
From RLHF training and clinical advisory to dataset annotation and full-time AI positions.
UK-Based Support
Built by a UK team that understands GMC, NMC, and NHS employment rules.
Flexible Hours
Work around your clinical or academic schedule. Most roles offer 5-20 hours per week.
Premium Pay
Healthcare AI expertise commands £30-150/hr, paid per task — your clinical knowledge is uniquely valuable.
Verified Community
Every candidate is credential-verified. Companies trust our talent because we verify everyone.
No Tech Background Needed
AI companies need your medical expertise, not your coding skills. Training is provided.
Multiple Role Types
From RLHF training and clinical advisory to dataset annotation and full-time AI positions.
UK-Based Support
Built by a UK team that understands GMC, NMC, and NHS employment rules.
Get Trained
Free RLHF Training Pathway
Start with a foundation course in clinical-AI evaluation, then prove your judgement through a two-phase calibration — a quick sequential screen, then full calibration across eight evaluation task types. You finish with a reliability score and a buyer-facing Reliability Report, ready to be matched onto bespoke scenario curation, reviewership panels, and paid evaluation work. Completely free.
Take 2 paracetamol every 4hrs
Increase warfarin dose to 20mg
Refer to cardiology for review
Foundation Course
Core RLHF concepts, evaluation methodology, and clinical AI safety. ~45 min, lesson + comprehension assessment.
Quick Screen
11-task sequential screen that confirms your judgement is aligned with expert consensus before the full calibration.
Full Calibration
60–90 minutes across all eight RLHF task types. Produces your reliability score with statistical confidence intervals.
Certified Evaluator
Certified & Matched
A buyer-facing Reliability Report (PDF + JSON) on record — then matched onto bespoke scenario curation, reviewership panels, and paid evaluation work.
Take 2 paracetamol every 4hrs
Increase warfarin dose to 20mg
Refer to cardiology for review
Foundation Course
Core RLHF concepts, evaluation methodology, and clinical AI safety. ~45 min, lesson + comprehension assessment.
Quick Screen
11-task sequential screen that confirms your judgement is aligned with expert consensus before the full calibration.
Full Calibration
60–90 minutes across all eight RLHF task types. Produces your reliability score with statistical confidence intervals.
Certified Evaluator
Certified & Matched
A buyer-facing Reliability Report (PDF + JSON) on record — then matched onto bespoke scenario curation, reviewership panels, and paid evaluation work.
New clinical AI roles,
straight to your inbox.
Join the waitlist and we'll email you when roles matching your expertise open up — plus rate updates and priority matching the moment you register.
- Early access to new AI roles
- Weekly pay rate updates
- Priority matching when you register
Verified against
Clinicians powering AI alignment, training & safety.