Job description
We’re recruiting health experts (generalist doctors and experienced nurses) to review and improve scenarios used to train AI health assistants.
Your job isn’t to “diagnose on paper.” It’s to think like a real clinician and spot what makes a patient interaction — then upgrade weak scenarios so they actually test the model.
‼️ If we spot AI use, we’ll block the application.⚠️ This form must be completed entirely in English.
Who can apply
Generalist doctors (primary care, family medicine, emergency, internal medicine)
Experienced nurses (clinical care, triage, emergency, outpatient settings)
Health professionals with strong patient-facing experience
If selected (project work)You’ll review batches of pre-generated health scenarios:
Rating realism and safety riskIdentifying weak or missing constraints (Knives)
Improving tasks so they better represent real care-seeking moments where bad guidance causes harm or erodes trust
CompensationPayment will be US$ 50 per approved task, converted and paid in your local currency.
Each task takes approximately 40 minutes, which corresponds to an effective rate of about US$ 75 per hour.
What we’re looking for
You can recognize what’s realistic vs. generic in patient interactions
You understand what truly changes triage decisions (red flags, meds, severity/duration, vulnerable groups).
Originally posted on Himalayas
Who can apply
The source lists worldwide eligibility. Accepted UTC offsets: UTC-11, UTC-10, UTC-9.5, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC-4, UTC-3.5, UTC-3, UTC-2, UTC-1, UTC+0, UTC+1, UTC+2, UTC+3, UTC+3.5, UTC+4, UTC+4.5, UTC+5, UTC+5.5, UTC+5.75, UTC+6, UTC+6.5, UTC+7, UTC+8, UTC+8.75, UTC+9, UTC+9.5, UTC+10, UTC+10.5, UTC+11, UTC+12, UTC+12.75, UTC+13, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.