Quality Inspector

Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We’re seeking experienced Certified Pharmacy Technicians (CPhT) to support the development of AI-powered prior authorisation workflows by reviewing medication-related clinical content and evaluating AI-generated responses for accuracy, safety, clarity, and completeness. This role is ideal for pharmacy technicians with strong medication management and pharmacy operations experience who are interested in contributing to cutting-edge healthcare AI. What You'll Do Answer medication-related clinical questions using patient context, source materials, and labelling guidelines. Review AI-generated responses for clinical accuracy, safety, clarity, completeness, and evidence support. Correct inaccurate or incomplete responses and provide structured annotations and written feedback. Identify and escalation cases involving insufficient evidence, conflicting guidance, unclear clinical context, or patient safety concerns. Apply project rubrics and quality standards consistently while participating in calibration and feedback sessions. Representative topics include Medication history Prior authorisation requirements Medication indications Dosing information Contraindications Drug interactions Supporting clinical documentation Pharmacy workflows Qualifications Certified Pharmacy Technician (CPhT) or equivalent pharmacy technician experience. Hands‑on experience with medications, prescriptions, pharmacy operations, and prior authorisation workflows. Strong understanding of medication safety, drug interactions, and pharmacy best practices. Excellent written communication skills and strong attention to detail. Comfortable following structured annotation guidelines. Available for 30–40 hours per week during the project. Preferred Experience Prior authorisation or specialty pharmacy experience. Medication access programs. Epic, Cerner, or other electronic health record (EHR) systems. Clinical quality assurance. AI evaluation, clinical content review, or healthcare data annotation. 340B or medication assistance programs. What Success Looks Like Consistently accurate, evidence-based clinical annotations and reviews. High agreement with project quality standards. Reliable throughput and timely delivery. Clear identification and escalation of safety-critical or ambiguous cases. Rapid incorporation of calibration feedback. #J-18808-Ljbffr