Use pharmacy expertise to evaluate AI-generated medication responses for clinical accuracy, safety, and evidence support. This US contract role pays $35 per hour and requires 20+ hours weekly.
Medical & Health
$35/hr
Compensation
1 country
Eligibility
Entry
Experience
Jul 25, 2026
Posted
Open to applicants in
OpenTrain AI is hiring and contracting with contributors who want to help build better artificial intelligence. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, where specialists can create a profile, discover relevant projects, and apply in minutes.
AI training is the human side of developing modern AI systems. Subject-matter experts review model outputs, identify errors, provide structured feedback, and help teach systems to produce more accurate and useful responses.
In healthcare-focused projects, careful clinical review is especially important. Pharmacy professionals can help improve how AI handles medication information, evidence, safety considerations, and real-world workflows.
OpenTrain is recruiting a Clinical AI Pharmacy Technician to review medication-related clinical content and evaluate AI-generated responses used in prior authorization workflows. You will apply pharmacy expertise to assess accuracy, safety, clarity, completeness, and evidence support.
The work covers medication history, prior authorization requirements, medication indications, dosing information, contraindications, drug interactions, supporting clinical documentation, and pharmacy workflows. Strong performance requires accurate, evidence-based annotations, reliable throughput, consistent quality, and clear identification of ambiguous or safety-critical cases.
You will answer medication-related clinical questions using patient context, source materials, and labeling guidelines. You will also review and improve AI-generated responses through structured annotation and written feedback.
Candidates should hold a Certified Pharmacy Technician credential or have equivalent pharmacy technician experience. Hands-on knowledge of medications, prescriptions, pharmacy operations, and prior authorization workflows is required.
You should also be comfortable applying medication safety judgment and following structured evaluation guidelines. Excellent written communication and close attention to detail are important for producing dependable clinical annotations.
The following background can support success but is not listed as required: prior authorization, specialty pharmacy, medication access programs, clinical quality assurance, healthcare data annotation, or AI evaluation.
Familiarity with Epic, Cerner, or other electronic health record systems may also be useful, as can experience with 340B or medication assistance programs.
AI training and data-labeling work offers a way to bring professional knowledge directly into the development of cutting-edge technology. Projects may involve evaluating responses, labeling information, or giving expert feedback that helps AI systems perform more reliably.
OpenTrain helps contributors build a durable portfolio of this work while discovering projects that match their skills. Create a free profile and use your pharmacy experience to contribute to the next generation of healthcare AI.
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