The work
You will create and assess emergency medical services evaluation data used to measure how well AI models make treatment decisions. The work uses practical ALS judgment from dispatch through transfer of care.
You will also review model-generated treatment plans and identify answers that sound clinically reasonable but could put a patient at risk.
- Write realistic ALS scenarios from dispatch through transfer of care.
- Create reference answers that explain the clinical reasoning behind each intervention.
- Grade AI responses for protocol accuracy and patient safety.
- Apply emergency medicine judgment across cardiology, airway management, and pharmacology.
- Document clinical decisions clearly enough for another medic to follow the reasoning.
What it pays and takes
This is remote, independent contractor work performed fully asynchronously. There are no fixed shifts, and you can increase or reduce your weekly workload while continuing with ongoing project work.
- Pay: $55 to $80 per hour, paid weekly via Stripe.
- Hours: At least 10 hours per week, with no maximum.
- Location: Open to candidates in the countries specified for this role.
- Language: Fluent written English is required for documenting clinical decisions.
- Certification and license: NRP certification and an active state paramedic license.
- Experience: At least two years of ALS field experience on a 911 service.
- Clinical knowledge: Strong knowledge of cardiology, airway management, and pharmacology.
- Helpful background: FP-C or CCP-C credentials, FTO experience, field supervision, EMS education, or work in a high-acuity urban system or tactical EMS setting.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training work uses human examples and reviews to help improve how artificial intelligence responds. Experienced professionals are paid to bring careful judgment to specialized tasks, such as checking whether an AI-generated treatment plan is accurate and safe.