Remote MSL for AI Training & Medical Content Validation

Alignerr Corp.; Salt Lake City (UT); Remote; USD 83,000 - 165,000; Full time

Benefits offered by this job

Autonomy

Variety

Global collaboration

Job summary

Alignerr is seeking experienced Medical Science Liaisons to help train and validate AI systems for life-science and medical applications. Use your expertise translating complex clinical data into clear, accurate communications for AI reviewers and healthcare professionals.

The role is remote, hourly, 10–40 hours per week, focusing on reviewing AI-generated medical content, evaluating scientific accuracy, and providing expert feedback to improve AI medical reasoning.

Qualifications

• Background in medical affairs, clinical research, or scientific communications with healthcare professional engagement.
• Ability to interpret clinical data, literature, and regulatory materials.
• Experience in field-based medical roles such as MSL, clinical educator, or scientific advisor.
• Comfort evaluating written medical content at scale with attention to science.

Responsibilities

• Review AI-generated medical content for accuracy, clarity, and healthcare audience suitability.
• Validate medical summaries, trial interpretations, and narratives produced by AI models.
• Identify errors or gaps in scientific reasoning and provide expert feedback.
• Assess whether AI outputs meet medical affairs standards for real-world use.
• Work independently on task-based assignments with asynchronous communication.

Skills

Medical affairs experience

Clinical data interpretation

Scientific communication

Written communication

Education

Advanced degree in life-science/clinical discipline

Tools

AI review workflows familiarity

Job description

Alignerr is seeking experienced Medical Science Liaisons to help train and validate AI systems for life-science and medical applications. Use your expertise translating complex clinical data into clear, accurate communications for AI reviewers and healthcare professionals.

The role is remote, hourly, 10–40 hours per week, focusing on reviewing AI-generated medical content, evaluating scientific accuracy, and providing expert feedback to improve AI medical reasoning.