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Job Description

Evaluate medication-use decisions, interaction and contraindication reasoning, formulary considerations, and patient-safety analysis in de-identified cases. Review whether AI-generated recommendations account for indication, dosing, organ function, allergies, monitoring, duplication, and clinically significant interactions. Identify unsafe therapy choices, missing patient factors, unsupported substitutions, and situations that require prescriber clarification or urgent escalation. Provide concise corrections grounded in evidence-based pharmacotherapy and the practical realities of medication-use systems. Remote, project-based contract work. Scope and hours depend on project matching; the listed hourly range applies to matched work.

Why Apply

• Expert-level compensationEarn $130 - $195/hr for work that values your professional judgment.
• Flexible remote workContribute asynchronously around your existing professional commitments.
• Meaningful model impactHelp advanced AI systems reason more accurately in healthcare & life sciences.
• Focused projectsAccept only the opportunities that fit your experience and availability.

Responsibilities

• Evaluate advanced domain tasks and AI-generated responses for factual accuracy and professional judgment.
• Apply current standards, methods, and risk considerations from healthcare & life sciences.
• Document errors, edge cases, and the reasoning behind an ideal response.
• Collaborate asynchronously with Alpheva's research and evaluation teams.

Required Qualifications

• PharmD with active or recently active pharmacist licensure
• 7+ years in hospital, ambulatory, managed-care, or medication-safety practice
• Board certification such as BCPS, BCACP, or equivalent specialty experience preferred

Company Description

Alpheva AI builds the expert data, evaluations, and real-world environments that help frontier AI systems become more capable and reliable. We partner with experienced professionals whose judgment can teach models how high-quality work is actually done.