About this role
OpenTrain AI
Evaluate AI-generated anesthesia content, write clinical prompts, and give structured feedback on accuracy and safety. This remote role offers flexible 20+ hours per week and pays up to $300 per hour.
Generative AI & RLHF
Remote Hourly · $300/hr
$300/hr
Compensation
Contract, part-time
Engagement
Remote
Location
Nov 7, 2026
Posted
Open to applicants in
United States
The work
Use your anesthesiology experience to assess AI-generated medical content and help improve models used to understand anesthesia practice.
- Review AI responses about anesthesiology and clinical workplace tasks.
- Write prompts based on anesthesia procedures, airway management, life-support systems, recovery, and emergency response.
- Assess accuracy, patient safety, professional language, and how well responses reflect collaboration with surgical and medical teams.
- Explain your judgments in clear, structured written feedback.
- Draw on experience educating medical staff and residents about anesthesia techniques and emergency protocols.
What it pays and takes
- Pay: Up to $300 per hour, depending on the project.
- Hours: 20+ hours per week. Work is asynchronous, with a flexible schedule.
- Location: Remote; open to candidates in the United States.
- Language: Fluent in English.
- Experience: At least four years of professional experience in anesthesiology.
- Clinical knowledge: Experience administering and monitoring anesthesia during medical procedures, with knowledge of airway systems, life-support management, patient safety, and post-procedure recovery.
- Teamwork: Experience working with surgeons and other medical staff to choose appropriate anesthetic methods.
- Work skills: Able to work independently and communicate detailed professional judgments in writing.
- Previous AI experience is not required.
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 judgment to help models learn from examples. Clinical experts assess model responses and explain what is accurate, clear, and safe.
Requirements
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Languages: English
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