Join OpenTrain as a US Pharmacist AI Reviewer to evaluate and correct AI-generated medication guidance for prior authorization workflows; contract remote role at $70/hr requiring an active US pharmacist license and strong clinical pharmacy experience.
Medical & Health
Remote Hourly · $70/hr
$70/hr
Compensation
1 country
Eligibility
Expert
Experience
Jul 25, 2026
Posted
Open to applicants in
United States
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OpenTrain is the leading platform for finding and building careers in AI training and data labeling. We connect skilled professionals to specialized, paid contract work that helps shape how modern AI systems behave and gives contributors a durable freelance path in a fast-growing industry.
About AI training and this work
AI training (also called data labeling or human feedback work) is the human side of building AI: people prepare, review, and rate examples that models learn from. This role is clinical and highly impactful — your reviews will directly influence medication guidance produced by AI systems used in prior authorization and medication-access contexts.
100% remote, flexible contract work that lets you shape healthcare AI behavior.
Entry to expert-level projects exist across many domains; pharmacy expertise is in high demand.
The Role
OpenTrain is hiring a Clinical Pharmacist AI Reviewer to evaluate AI-generated medication guidance for prior authorization workflows. You will check responses for clinical accuracy, safety, clarity, completeness, and evidence support, then correct issues and provide structured annotations and written feedback.
This is a US-only contractor, part-time role paying $70/hour. The project expects a meaningful weekly commitment (the role description references availability for 30–40 hours/week and the project lists a 20+ hours/week requirement). You must hold an active US pharmacist license (PharmD or equivalent).
Apply project rubrics, participate in calibration exercises, and maintain consistent quality over time.
Escalate ambiguous or high-risk cases per project procedures.
Requirements
Active US Pharmacist license (PharmD or equivalent) — required.
Strong experience with medications, pharmacy workflows, and clinical decision-making.
Excellent knowledge of drug interactions, contraindications, and prescribing guidelines.
Proven written communication skills and high attention to detail.
Comfort following structured annotation guidelines and using written feedback rubrics.
Ability to review AI-generated clinical answers for safety and evidence support.
English fluency; must be located in the United States.
Preferred qualifications
Prior authorization, specialty pharmacy, or medication access experience.
Managed care, clinical quality assurance, or prior authorization workflow experience.
Familiarity with EHR systems such as Epic or Cerner.
Experience with clinical content review, AI evaluation, RLHF, or healthcare data annotation.
Knowledge of 340B or medication assistance program processes.
How it works / Next steps
OpenTrain is the hiring and contracting organization for this project. If you meet the requirements, create or update your OpenTrain profile, submit your application, and include licensure and relevant clinical experience.
Selected candidates will participate in project orientation and calibration to learn the rubric and annotation tools. Work is contracted and paid hourly at the stated rate.
Apply with your active US pharmacist license and clinical experience details.
Expect a calibration/training step before doing production reviews.
Join OpenTrain AI as a remote contractor to review and create gold‑standard pharmacy responses that improve AI clinical reasoning; expert pharmacists with PharmD/BPharm and 5+ years’ experience, C1 English, $35–65/hr, 20+ hrs/week. Work includes rating, writing, and RLHF-style evaluation.
Join OpenTrain as a Clinical Pharmacy AI Reviewer to evaluate and correct medication-focused AI responses in prior-authorization workflows. This U.S.-based contractor role pays $35/hr and asks for 30–40 hours/week availability to apply your CPhT experience to medication safety and clinical accuracy.