
2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
🔥 0 minutes ago
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2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
• Review AI-generated clinical outputs based on inpatient nursing flowsheet documentation • Evaluate documentation for accuracy, completeness, alignment with current nursing standards, and appropriate representation of nursing findings • Identify missing information, inconsistencies, and potentially unsafe conclusions using bedside clinical judgement • Annotate and structure adult inpatient nursing assessment data for AI training datasets • Apply detailed annotation guidelines consistently and identify ambiguous cases requiring clarification • Provide feedback to improve annotation guidance and evaluation criteria • Assess AI-generated responses for clinical accuracy and patient-safety considerations • Identify gaps, contradictions, and potential risks in model-generated clinical information • Provide written explanations supporting clinical evaluation decisions • Help establish standards for assessing healthcare AI performance • Contribute to 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
• 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 • 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 • 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
• Fully remote work • Flexible scheduling based on project requirements • Strong contributors may be considered for additional clinical and healthcare AI evaluation projects
Apply Now🔥 21 hours ago
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