Verified Mercor opportunity
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 escalate 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 speciality pharmacy • 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.