Remote MSL for AI-Driven Medical Content Quality

Alignerr Corp.; Birmingham; Remote; GBP 83,000 - 152,000; Part time

Benefits offered by this job

Autonomy

Flexibility

Collaboration with research teams

Job summary

Alignerr is seeking experienced Medical Science Liaisons and life-science professionals to evaluate and improve AI systems trained on clinical and biomedical content. Your scientific expertise will shape how AI understands, communicates, and reasons about medical evidence — making a real impact on the future of healthcare AI.

This remote hourly contract offers flexible hours (10–40 hours/week) and the opportunity to work asynchronously with global research teams, influencing AI model quality

Qualifications

• Experience in medical affairs, clinical research, or scientific communications.
• Ability to engage and communicate with healthcare professionals (HCPs).
• Strong interpretation of clinical data, publications and regulatory materials.

Responsibilities

• Review AI-generated medical and clinical content for accuracy, clarity and appropriateness.
• Validate interpretation of clinical trial data, safety information and medical narratives.
• Identify errors, misleading claims, or gaps in scientific reasoning in AI outputs.
• Provide structured feedback to improve AI model quality in life-science domains.
• Translate complex biomedical concepts into clear, actionable assessments for stakeholders.
• Work independently and asynchronously on your schedule.

Skills

Medical affairs

Clinical research

Scientific communications

HCP engagement

Data interpretation

Education

MD/PhD/PharmD

Job description

Alignerr is seeking experienced Medical Science Liaisons and life-science professionals to evaluate and improve AI systems trained on clinical and biomedical content. Your scientific expertise will shape how AI understands, communicates, and reasons about medical evidence — making a real impact on the future of healthcare AI.

This remote hourly contract offers flexible hours (10–40 hours/week) and the opportunity to work asynchronously with global research teams, influencing AI model quality