Pharmacology Content Reviewer for AI Training [Remote]

Role Overview

Apply your pharmacology expertise to help train next generation AI systems through accurate, clinically grounded content, evaluations, and recommendations. No prior AI experience is required.

Key Responsibilities

• Review pharmacology content for accuracy, clarity, and real world relevance.
• Create and curate scenarios, case studies, and datasets covering pharmacokinetics, pharmacodynamics, drug interactions, and therapeutic applications.
• Evaluate AI generated pharmacology responses for scientific rigor and clinical adherence.
• Translate complex pharmacology concepts into accessible training material.
• Identify gaps and inaccuracies in existing materials, then recommend data driven improvements.
• Work with interdisciplinary teams to refine guidelines and datasets in line with current pharmacological standards.
• Document the methodologies and rationale behind pharmacological decisions and recommendations in project deliverables.

Qualifications

• Advanced degree, such as a PharmD, PhD, MD, or equivalent, in pharmacology, pharmaceutical sciences, or a closely related field.
• Demonstrated expertise in clinical, molecular, or systems pharmacology.
• Experience writing, reviewing, or teaching pharmacology content in academic, clinical, or industry settings.
• Knowledge of current global guidelines, regulatory standards, and best practices for drug therapy and safety.
• Strong analytical and critical evaluation skills, including the ability to assess nuanced pharmacological data.
• Clear, concise communication skills for explaining complex scientific concepts to varied audiences.
• Experience with digital, AI, or data annotation projects is helpful but not required.

Work Terms

• Remote contract engagement.

Compensation

• $60 to $80 per hour.