Hippocratic AI builds the safest generative AI healthcare agent for health systems, payors, and pharma. Over 180 million clinical interactions across 1,000+ use cases with 60+ partners worldwide. Backed by General Catalyst, Kleiner Perkins and a16z.
About the role
We are seeking Registered Nurses with at least 5 years of clinical experience — bedside nursing, case management, clinical nurse educators, or clinical quality — to join our internal data annotation team evaluating AI-driven clinical agents. You will review agent conversations spanning primary care, chronic disease management, care management, medication adherence, and scheduling, labeling and annotating for clinical accuracy, safety, and guideline adherence. This is a remote, contract position (1099). Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Active, unrestricted RN license in the United States. Compact license preferred
- Minimum 5 years of hands-on clinical experience (bedside nursing, case management, clinical quality/utilization review, clinical nurse educators, or equivalent)
- Strong clinical judgment and working knowledge of evidence-based protocols and clinical practice guidelines
- Comfortable reviewing written transcripts and applying structured rubrics with a high level of attention to detail
- Strong written communication skills for documenting feedback and corrections clearly
- Able to work independently and meet turnaround expectations
More about this role
We are seeking Registered Nurses with at least 5 years of clinical experience — bedside nursing, case management, clinical nurse educators, or clinical quality — to join our internal data annotation team evaluating AI-driven clinical agents. You will review agent conversations spanning primary care, chronic disease management, care management, medication adherence, and scheduling, labeling and annotating for clinical accuracy, safety, and guideline adherence. This is a remote, contract position (1099). We are open to individuals available for 20 to 40 hours/week with flexible scheduling.
Review recorded and simulated AI agent interactions across a variety of clinical use cases, applying sound clinical judgment to assess the accuracy, safety, and appropriateness of agent responses.
Score and annotate agent performance using structured evaluation rubrics, aligning with evidence-based protocols and clinical practice guidelines.
Identify clinical safety concerns, inappropriate recommendations, edge cases, and gaps in agent clinical reasoning.
Provide clear, actionable written feedback to clinical and product teams to inform agent refinement.
Participate in periodic calibration...
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