RN Clinical Data Annotation Specialist

Accountabilities • Evaluate AI-generated clinical interactions: Review recorded and simulated conversations across a range of healthcare scenarios, applying clinical judgment to assess response accuracy, safety, appropriateness, and relevance.

• Annotate and score performance: Use structured evaluation rubrics to assess AI responses against evidence-based protocols, clinical practice guidelines, and established quality standards.

• Identify safety risks: Detect potentially harmful recommendations, clinical inaccuracies, inappropriate guidance, edge cases, and weaknesses in clinical reasoning.

• Provide actionable feedback: Document clear, detailed, and constructive written feedback to help clinical and product teams improve AI agent performance.

• Support continuous improvement: Contribute clinical insights that strengthen the reliability and quality of AI-driven healthcare interactions.

• Participate in reviewer calibration: Join periodic calibration sessions with other clinical reviewers to maintain consistent interpretation of evaluation criteria and annotation standards.

• Maintain quality and productivity: Work independently, pay close attention to detail, and complete reviews within expected turnaround times.

Requirements

• Active nursing license: Hold an active, unrestricted Registered Nurse (RN) license in the United States. A multistate compact license is preferred.

• Clinical experience: Have at least five years of hands-on clinical experience in areas such as bedside nursing, case management, clinical quality, utilization review, clinical nurse education, or a comparable role.

• Strong clinical judgment: Demonstrate the ability to assess clinical scenarios, identify potential risks, and apply evidence-based protocols and established practice guidelines.

• Review and evaluation skills: Be comfortable reviewing written transcripts, assessing clinical content, and applying structured scoring rubrics consistently.

• Attention to detail: Accurately identify discrepancies, safety concerns, and subtle issues in clinical recommendations and documentation.

• Written communication: Communicate clinical findings, corrections, and recommendations clearly and concisely in writing.

• Independent work style: Be organized, self-directed, and able to meet deadlines and expected turnaround times in a remote working environment.

• Preferred experience: Experience in clinical quality assurance, utilization review, or case review is an advantage.

• Documentation expertise: Familiarity with chart audits or clinical documentation review is beneficial.

• Digital health familiarity: Experience with AI-assisted clinical tools or digital health platforms is a plus, but not required.

Benefits

• Remote flexibility: Work fully remotely from the United States.

• Flexible scheduling: Arrange your schedule flexibly within the expected commitment of 20–40 hours per week.

• Contract engagement: Work on a 1099 independent contractor basis.

• Hourly compensation: Receive hourly pay commensurate with your experience.

• Meaningful clinical impact: Apply your nursing expertise to help improve the safety and quality of AI-driven clinical interactions.

• Healthcare innovation: Gain exposure to the evolving intersection of clinical practice, artificial intelligence, and digital health.

• Collaborative environment: Work with clinical reviewers and product teams to help refine technology designed to support healthcare delivery.

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