We are sharing a specialised remote consulting opportunity for experienced Registered Nurses (RNs) with recent adult acute-care inpatient experience and strong knowledge of bedside assessment, clinical documentation, and nursing workflows. This role supports AI evaluation work focused on clinical and healthcare applications. Selected nurses will apply frontline clinical judgement to review nursing documentation, assess AI-generated clinical outputs, structure inpatient assessment data, and help improve the accuracy, safety, and reliability of healthcare AI systems. Key Responsibilities Clinical Documentation Review Review AI-generated clinical outputs based on inpatient nursing flowsheet documentation Evaluate documentation for accuracy, completeness, and alignment with current nursing standards Assess whether nursing findings and clinical assessments are represented appropriately Identify missing information, inconsistencies, or potentially unsafe conclusions Apply practical bedside judgement when evaluating clinical documentation Nursing Assessment & Data Annotation Annotate and structure adult inpatient nursing assessment data for AI training datasets Review comprehensive nursing assessments across relevant inpatient workflows Apply detailed annotation guidelines consistently across clinical cases Identify ambiguous cases and surface areas requiring clarification Contribute feedback that improves annotation guidance and evaluation criteria Clinical Quality & Safety Evaluation Assess AI-generated responses for clinical accuracy and patient-safety considerations Identify gaps, contradictions, and potential risks within model-generated clinical information Evaluate outputs using current nursing practices and documentation expectations Provide clear written explanations supporting clinical evaluation decisions Help establish reliable standards for assessing healthcare AI performance AI Evaluation & Benchmark Development Contribute to the development of high-quality clinical evaluation benchmarks Review AI outputs using structured scoring and quality-assurance frameworks Identify recurring model errors and challenging clinical edge cases Collaborate with project teams to improve evaluation methods and model performance Provide domain-expert feedback grounded in real-world inpatient nursing experience Ideal Profile Active U.S. Registered Nurse (RN) license outside California Recent adult acute-care inpatient bedside nursing experience, ideally within a non-procedural specialty Clinical experience within the past 5–10 years, with strong familiarity with current nursing workflows and documentation practices Comfortable performing and documenting comprehensive nursing assessments Strong understanding of nursing flowsheets and bedside clinical documentation Ability to follow detailed annotation and evaluation guidelines consistently Excellent written communication skills and strong attention to clinical detail Ability to work independently and meet project deadlines Epic EHR experience is highly valued Experience with chart review, quality improvement, utilization review, clinical documentation integrity, or clinical informatics is advantageous Previous experience with clinical annotation, chart abstraction, healthcare AI, or structured medical-data review is particularly relevant Comfortable learning new annotation tools and web-based platforms Engagement Details Fully remote independent contractor engagement Flexible scheduling based on project requirements Compensation: $45–$50/hour Projects may be extended, shortened, or concluded based on project needs and performance Work must be completed without using confidential or proprietary information belonging to any employer, healthcare organisation, patient, client, institution, or other third party H1-B and STEM OPT support is unavailable for this engagement Strong contributors may be considered for additional clinical and healthcare AI evaluation projects About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy .
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