Registered nurses build expert-level evaluation and training data for frontier AI labs. Paid hourly, fully remote, fully async. AfterQuery partners with frontier AI labs to build expert-level evaluation and training data. We are hiring registered nurses as contractors to review, create, and rank clinical content that teaches AI models how real nursing works. You will evaluate AI-generated patient education, triage guidance, and clinical documentation for accuracy and safety, and create expert demonstrations drawn from your own practice. The work is paid hourly, fully remote, and fully async - you choose when and how much you work. Your clinical judgment directly shapes how safe and useful these systems are in healthcare settings.
Responsibilities
- Evaluate AI-generated clinical content for accuracy and safety
- Create expert demonstrations of nursing workflows, triage, and patient education
- Rank and label model responses against nursing best practices
Required Qualifications
- Active RN license in good standing (ADN or BSN)
- 2+ years of clinical nursing experience in a hospital, clinic, or comparable care setting
- Strong written communication skills
Preferred Qualifications
- BSN or MSN degree
- Specialty certification such as CCRN, CEN, or OCN
- Experience in ICU, ED, or other high-acuity settings
Why apply
- Fully remote and async - work on your own schedule
- Competitive hourly pay for your clinical expertise
- Shape how frontier AI models understand nursing practice
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Registered Nurse Expert employeur : AfterQuery
AfterQuery est un employeur exceptionnel pour les professionnels de la gestion de l'information en santé, offrant une flexibilité totale avec un travail 100 % à distance et des horaires entièrement asynchrones. Les collaborateurs peuvent s'attendre à des taux horaires compétitifs allant de 70 à 95 $ et à des opportunités de croissance continue dans un environnement où leur expertise est valorisée et reconnue. En rejoignant AfterQuery, vous aurez l'occasion de façonner l'avenir des modèles d'IA en matière de données de santé tout en travaillant sur des projets significatifs qui impactent réellement le secteur.
