Licensed Pharmacist - AI Trainer

Obsidian; Nashville (TN); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Job summary

Mercor is hiring on behalf of a leading AI research lab to apply clinical expertise to AI-powered prior authorization workflows by answering medication-related clinical questions and reviewing AI-generated responses for clinical accuracy, safety, clarity, and completeness.

Representative topics include medication indications, dosing, contraindications, drug interactions, treatment history, prior authorisation criteria, and 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.

Responsibilities

• 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 elevate 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.

Skills

Strong experience with medications,

pharmacy workflows

clinical decision-making

Strong written communication

attention to detail

structured annotation guidelines

Education

Active US Pharmacist licence (PharmD or equivalent)

Tools

Epic

Cerner

EHR systems

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 elevate 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.