Remote Medical Science Liaison — AI Training Expert

Alignerr Corp.; Columbus (OH); On-site; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking experienced Medical Science Liaisons and clinical communications experts for an AI training role. This flexible remote contract focuses on evaluating and improving AI systems in life sciences, with 10–40 hours per week on your schedule.

You will review AI-generated medical content, validate clinical accuracy, and provide expert feedback to enhance model outputs while maintaining scientific integrity in a remote, asynchronous setting.

Qualifications

• Background in medical affairs, clinical research, or scientific communications.
• Experience engaging with healthcare professionals in field-based or external roles (MSL, consultant).
• Ability to interpret clinical publications and regulatory documents.
• Ability to translate complex medical information for professional audiences.
• Detail-oriented with a commitment to accuracy.
• Self-motivated; able to work independently on remote tasks.

Responsibilities

• Review and evaluate AI-generated medical content for accuracy.
• Apply clinical data and trial evidence to identify errors, gaps, or misleading outputs.
• Ensure complex biomedical information is accurately represented for healthcare professionals.
• Provide structured expert feedback to improve AI model outputs.
• Support scientific integrity across AI datasets and training content.
• Work independently and asynchronously on your schedule.

Skills

Medical affairs

Clinical research

Scientific communications

Healthcare engagement

Job description

Alignerr is seeking experienced Medical Science Liaisons and clinical communications experts for an AI training role. This flexible remote contract focuses on evaluating and improving AI systems in life sciences, with 10–40 hours per week on your schedule.

You will review AI-generated medical content, validate clinical accuracy, and provide expert feedback to enhance model outputs while maintaining scientific integrity in a remote, asynchronous setting.