For NPs, PAs & physicians
Get paid to review AI's medical work.
Healthcare Reviewer pays licensed clinicians to check what medical AI tells patients — grading its answers against a checklist you'd recognize from practice, and writing the teaching cases models learn from. Remote, hourly, on your schedule.
Already approved? Sign in to the reviewer platform

$100–$180
per hour, by specialty and experience
100%
remote and asynchronous
0
minimum hours — take work when it suits you
NP · PA · MD/DO
who we hire
Why it matters
This is patient-safety work.
Medical AI fails in ways only a clinician catches — a confident answer citing a trial that doesn't exist, an interaction it pattern-matched into being, a reassurance aimed at the one patient who needed an ambulance. Spotting that takes people who have carried real responsibility for patients, which is why every reviewer here is credential-checked before their first case.

The clinicians models learn from are the ones who've sat across from the patient.
How it works
From application to first case
No recruiters and no interview gauntlet — an application we read by hand, one short video call, and you're reviewing.

01
Apply and get reviewed
Tell us your license, specialty, and background. A person reviews every application and checks your NPI against the national registry — no instant, automated approval.
Reviewed by our team

02
A short video screening
If it's a fit, we set up a ~30-minute video call — a conversation about your background and the work, not a test built to trip you up.
~30 minutes, over video

03
Review cases and get paid
Once you're in, take cases in your specialty whenever it suits you. The work is hourly, tracked in the platform, and paid to your bank through Stripe.
Hourly · paid via Stripe
Why Healthcare Reviewer
Work that takes your training seriously
01
Rigor
Clinical-grade review, not busywork
You grade AI answers against a physician-written checklist — differentials, dosing, escalation. The work assumes you think in evidence and standards of care, because you do.
02
Impact
Your catches make models safer
Every invented drug interaction you flag and every unsafe reassurance you overturn shapes how the next model answers the patient who asks it something real.
03
Flexibility
Remote, asynchronous, no minimums
Work between shifts, post-call, or on a research day. No meetings and no required hours — most reviewers spend a few to fifteen hours a week, at whatever pace fits their life in medicine.
04
Pay
Rates that respect your training
Roles pay $100–$180 an hour, set by specialty and experience. Every listing shows its hourly range before you apply, so you never apply blind.
The work itself
One case through the review loop
Every project is a version of the same honest loop: read what the model said, grade it against the checklist, and write what good care looks like.
Read the AI's answer
A drafted patient answer, a triage response, a clinical recommendation. You see exactly what the model produced, on fictional or de-identified cases.
Grade it against the checklist
Mark what a safe, complete answer had to cover, and flag what the model missed — the overlooked red flag, the invented citation, the interaction that doesn't exist.
Write what good looks like
Author the short teaching cases and reference answers models learn from. This is where your clinical judgment does the real work.
Open roles
Specialties we're hiring now
Four broad specialties, open to NPs, PAs, and physicians. Each shows its hourly range before you apply.
Primary Care / Family Medicine
Review AI answers to everyday primary-care questions against a physician-written checklist, and write short teaching cases that show models what good care looks like.
Emergency Medicine
Grade how AI handles acute presentations — acuity, red flags, escalation — against an emergency-medicine checklist, and write teaching cases from common ED scenarios.
Women's Health
Review AI answers across women's health — menopause and HRT, hormonal and metabolic care — against clinical checklists, and write teaching cases in the specialty.
Cardiology
Grade AI answers on cardiovascular care — risk, workup, guideline-directed therapy — against a cardiology checklist, and write teaching cases in the specialty.
FAQ
Common questions
Eligibility, credentials, pay, and privacy — answered directly.
Your clinical judgment, applied at model scale
Applying takes a few minutes, and a real person reads every one. Browse the open roles while you're here.