Remote AI Training Medical Science Liaison

Alignerr Corp.; Ireland; Remote; EUR 83,000 - 165,000; Part time

Job summary

Alignerr is seeking experienced Medical Science Liaisons to help train AI systems for life-science and healthcare applications. Apply your medical affairs expertise to evaluate AI-generated biomedical content and ensure accuracy for healthcare professionals, while working remotely on a flexible schedule.

This hourly contract role supports ongoing feedback to improve AI models and datasets, offering international collaboration and the freedom to work from anywhere with a focus on scientific

Qualifications

• Background in medical affairs, clinical research, or scientific communications.
• Experience engaging healthcare professionals (HCPs).
• Ability to interpret clinical publications, trial data, and regulatory materials.
• Experience in field-based or externally facing medical roles (MSL, clinical educator, etc.).
• Excellent written communication with scientific precision.

Responsibilities

• Review AI-generated medical and clinical content for accuracy for healthcare professional audiences.
• Validate interpretation of trial data, safety information, and medical evidence.
• Identify errors or gaps in AI-generated narratives and suggest improvements.
• Provide structured expert feedback on biomedical outputs using evaluation frameworks.
• Support development of high-quality, scientifically grounded AI models and datasets.
• Work independently and asynchronously on your own schedule.

Skills

Medical affairs

Clinical research

Scientific communications

HCP engagement

Independent work

Education

Advanced life-science degree

Tools

AI evaluation tools

Job description

Alignerr is seeking experienced Medical Science Liaisons to help train AI systems for life-science and healthcare applications. Apply your medical affairs expertise to evaluate AI-generated biomedical content and ensure accuracy for healthcare professionals, while working remotely on a flexible schedule.

This hourly contract role supports ongoing feedback to improve AI models and datasets, offering international collaboration and the freedom to work from anywhere with a focus on scientific