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Who this role suits
Doctors, nurses and clinicians who want paid remote work that uses their clinical judgment, without patient-facing shifts.
Full job description
Mercor is hiring on behalf of a leading AI research lab developing next-generation clinical AI systems. We're seeking experienced, licensed US Pharmacists to help improve AI-powered prior authorisation workflows by answering medication-related clinical questions and reviewing AI-generated responses for clinical accuracy, safety, clarity, and completeness. This is an opportunity to apply your clinical expertise to real-world healthcare AI while helping build safer, more reliable clinical decision-support systems.
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 indications
Dosing recommendations
Contraindications
Drug interactions
Treatment history
Prior authorisation criteria
Supporting clinical documentation
Qualifications
Active US Pharmacist licence (PharmD or equivalent).
Strong experience with medications, pharmacy workflows, and clinical decision-making.
Excellent understanding of drug interactions, contraindications, and prescribing guidelines.
Strong written communication skills and 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
Managed care or medication access
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 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.
Last checked open on Oct 28, 2026. Job description provided by Mercor.
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