We are looking for experienced U.S.-based Pharmacists and Pharmacy Technicians to support an AI-focused healthcare project. This opportunity is ideal for pharmacy professionals with strong familiarity with prescription medications, generic and brand drug names, and standard U.S. medication terminology. What You’ll Do

• Review short audio samples containing spoken medication names.
• Evaluate whether medication names are pronounced accurately and clearly.
• Score audio samples using a structured evaluation rubric.
• Identify pronunciation errors, ambiguities, or inconsistencies.
• Apply evaluation standards consistently across review tasks.
• Participate in an initial calibration exercise to align on scoring expectations.
• Complete additional review batches as project needs arise.
• Provide concise feedback where clarification or correction is required.

Ideal Background

• Licensed Pharmacist (PharmD/RPh) or experienced Pharmacy Technician.
• Professional pharmacy experience in the United States.
• Strong familiarity with generic and brand-name medications commonly encountered in U.S. pharmacy practice.
• Comfortable recognising and assessing medication terminology when spoken aloud.
• High attention to detail and ability to distinguish subtle pronunciation differences.
• Able to follow detailed rubrics and apply scoring criteria consistently.
• Strong written and spoken U.S. English proficiency.
• Experience in retail, hospital, speciality, mail-order, or other pharmacy settings is welcome.

Preferred Qualifications

• Several years of hands-on pharmacy experience.
• Regular experience communicating medication names verbally with patients, pharmacists, physicians, or other healthcare professionals.
• Familiarity with a broad range of therapeutic areas and medication classes.
• Experience with quality assurance, annotation, clinical review, transcription review, or structured evaluation work is helpful but not required.

Why Join

• Apply your pharmacy expertise to the development and evaluation of advanced AI systems.
• Contribute specialised healthcare knowledge without providing direct patient care.
• Opportunity to participate in additional projects as new review work becomes available.