Medical Chart Reviewer — Clinical AI Evaluation

Medical Chart Reviewer — Clinical AI Evaluation is a remote clinical-review track for evaluating AI outputs that touch clinical review. Reviewers grade differential reasoning, dosing logic, and guideline adherence; flag patient-safety issues; and document the corrected clinical reasoning so the modeling team can close the gap. Why this role matters Clinical review AI is only useful if a credentialed clinician would sign their name to the output. AuraOne uses licensed and credentialed reviewers to set the bar for clinical reasoning, dosing, and guideline adherence in regulated workflows. Responsibilities Review AI outputs against current clinical review clinical guidelines and standard of care for Medical Chart Reviewer — Clinical AI Evaluation assignments. Grade differential reasoning, dosing, and red-flag handling on a structured rubric. Flag patient-safety issues with severity tags that match clinical-incident taxonomies. Capture the corrected clinical reasoning so the modeling team can train on it. Adjudicate disputed cases against published evidence or specialty guidelines. Maintain reviewer-quality scores in weekly inter-rater calibration cycles. Qualifications Active or recent license / board certification in clinical review or an adjacent specialty for Medical Chart Reviewer — Clinical AI Evaluation work. Hands-on clinical experience reading patient cases and writing structured assessments. Comfort applying multi-page rubrics consistently across long batches. Clear written reasoning that cites guidelines, evidence, or standard of care. Reliable async availability for at least 10 hours per week. Example tasks Grade a model's differential-diagnosis reasoning on a clinical review case and write a 2-3 sentence assessment. Flag a dosing miscalculation with the right severity tag and corrected dose. Adjudicate a disputed case between two reviewers using current specialty guidelines. Audit a 25-case batch for rubric consistency and report drift to the program lead. Nice to have Prior work as a guideline reviewer, peer reviewer, or clinical educator. Familiarity with AI-assisted clinical decision support and its failure modes. Bilingual clinical experience for non-English patient cases. Skills Clinical reasoning Guideline review Patient-safety assessment Structured clinical writing Clinical review Healthcare Work model Remote — US-eligible. Remote Independent specialist contractor. Employment type: CONTRACTOR. Applicants must be authorized to work from US. Compensation Hourly rate confirmed after the interview process. #J-18808-Ljbffr AuraOne Human Data