Remote MSL — AI Training & Medical Content Review

Alignerr Corp.; Melbourne; Remote; AUD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking experienced Medical Science Liaisons for AI Training to shape AI understanding of biomedical content. This remote, hourly contract role focuses on evaluating and improving AI-generated medical content for accuracy, credibility, and clinical relevance.

You will contribute expert feedback on a flexible schedule, across a range of biomedical topics. Ideal candidates have background in medical affairs or clinical research, strong data interpretation skills, and experience

Qualifications

• Background in medical affairs, clinical research, or scientific communications.
• Experience engaging or communicating with healthcare professionals (HCPs) in field-based or advisory roles.
• Strong ability to interpret clinical data, peer-reviewed publications, and regulatory materials.

Responsibilities

• Review and evaluate AI-generated medical and clinical content for accuracy, clarity, and scientific integrity.
• Identify errors, misinterpretations, or gaps in how AI represents clinical trial data, safety profiles, and medical evidence.
• Validate scientific narratives and ensure they meet the standards expected by healthcare professionals.
• Provide structured, expert feedback on AI outputs across a range of biomedical topics.
• Support content quality initiatives by annotating and rating medical responses generated by AI models.
• Work independently and asynchronously on your own schedule.

Skills

Medical affairs

Clinical research

Scientific communications

Job description

Alignerr is seeking experienced Medical Science Liaisons for AI Training to shape AI understanding of biomedical content. This remote, hourly contract role focuses on evaluating and improving AI-generated medical content for accuracy, credibility, and clinical relevance.

You will contribute expert feedback on a flexible schedule, across a range of biomedical topics. Ideal candidates have background in medical affairs or clinical research, strong data interpretation skills, and experience