Remote AI Medical Content MSL — Scientific QA

Alignerr Corp.; New York (NY); On-site; USD 14,000 - 55,000; Part time

Job summary

Alignerr Corp. is seeking an experienced Medical Science Liaison for AI training to help evaluate and improve AI systems trained on biomedical content.

The role is remote, contract-based, and offers flexible hours from 10 to 40 per week. You will review AI-generated medical content for accuracy, validate data interpretations, and provide actionable feedback to ensure safe, evidence-based outputs for healthcare professionals.

Qualifications

• Background in medical affairs, clinical research, or scientific communications.
• Proven experience engaging and communicating with healthcare professionals (HCPs).
• Strong ability to interpret clinical data, peer‑reviewed publications, and regulatory documents.
• Experience in a field-based or externally facing medical role (MSL, clinical educator, medical advisor, or similar).

Responsibilities

• Review and evaluate AI-generated medical content for scientific accuracy and clarity for HCP audiences.
• Validate interpretation of clinical trial data, medical literature, and regulatory materials.
• Identify errors, gaps, or misrepresentations in AI outputs related to biomedical science.
• Provide structured feedback to improve quality and integrity of AI-generated medical content.
• Support scientific communication strategies ensuring clinical evidence and safety data are accurately represented.
• Work independently and asynchronously on your own schedule.

Skills

Medical affairs

Clinical research

Scientific communications

HCP engagement

Clinical data interpretation

Regulatory documents

Job description

Alignerr Corp. is seeking an experienced Medical Science Liaison for AI training to help evaluate and improve AI systems trained on biomedical content.

The role is remote, contract-based, and offers flexible hours from 10 to 40 per week. You will review AI-generated medical content for accuracy, validate data interpretations, and provide actionable feedback to ensure safe, evidence-based outputs for healthcare professionals.