Registered Nurse – Adult Inpatient Care

This is a fully remote position, open to applicants in New York.

📋 Description

• Assess AI-generated clinical outputs by reviewing inpatient nursing flowsheet documentation.

• Analyze documentation for precision, thoroughness, compliance with current nursing standards, and accurate representation of nursing findings.

• Detect missing information, discrepancies, and potentially unsafe conclusions using bedside clinical judgment.

• Annotate and organize adult inpatient nursing assessment data for AI training datasets.

• Consistently apply detailed annotation guidelines and identify ambiguous cases needing clarification.

• Offer feedback to enhance annotation guidelines and evaluation criteria.

• Evaluate AI-generated responses for clinical accuracy and considerations related to patient safety.

• Identify gaps, contradictions, and potential risks in model-generated clinical information.

• Provide written explanations to support clinical evaluation decisions.

• Assist in establishing standards for evaluating healthcare AI performance.

• Contribute to the development of clinical evaluation benchmarks.

• Review AI outputs utilizing structured scoring and quality assurance frameworks.

• Identify recurring model errors and complex clinical edge cases.

• Collaborate with project teams to enhance evaluation methods and model performance.

• Deliver domain-expert feedback based on real-world inpatient nursing experience.

⛳️ Requirements

• Must possess an active U.S. Registered Nurse (RN) license, excluding California.

• Recent experience in adult acute-care inpatient bedside nursing, preferably in a non-procedural specialty.

• Clinical experience within the last 5–10 years is required.

• Strong understanding of current nursing workflows and documentation practices.

• Proficient in conducting and documenting comprehensive nursing assessments.

• In-depth knowledge of nursing flowsheets and bedside clinical documentation.

• Ability to consistently adhere to detailed annotation and evaluation guidelines.

• Excellent written communication skills with a keen attention to clinical detail.

• Capability to work independently and meet project deadlines.

• Experience with Epic EHR is highly regarded.

• Background in chart review, quality improvement, utilization review, clinical documentation integrity, or clinical informatics is advantageous.

• Previous involvement in clinical annotation, chart abstraction, healthcare AI, or structured medical-data review is especially relevant.

• Comfortable with learning new annotation tools and web-based platforms.

• Work must be conducted without utilizing confidential or proprietary information from any employer, healthcare organization, patient, client, institution, or other third party.

• H1-B and STEM OPT support is not available for this position.

🏝️ Benefits

• Opportunity for fully remote work.

• Flexible scheduling based on project demands.

• Strong contributors may be considered for additional clinical and healthcare AI evaluation projects.