Medical Science Liaison (MSL)

Job summary

Review AI-generated medical and clinical content for accuracy, clarity, and scientific integrity, including its interpretation of clinical trial data, safety information, and medical evidence. Identify errors or gaps and provide structured feedback to improve AI training and scientific communication.

Job details

Medical Science Liaison (MSL) — AI Training About The Role We're looking for experienced Medical Science Liaisons to help evaluate and improve AI systems built for life-science and clinical applications. Your deep understanding of clinical data, medical evidence, and healthcare communication will directly shape how AI interprets and conveys biomedical information — making a real impact on the future of medical AI. This is a fully remote, flexible contract opportunity ideal for MSLs, clinical educators, and scientific advisors who want to apply their expertise in a high-impact, forward-looking environment. Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 10–40 hours/week What You'll Do Review and evaluate AI-generated medical and clinical content for accuracy, clarity, and scientific integrity Validate that complex clinical trial data, safety information, and medical evidence is correctly interpreted and clearly communicated Identify errors, gaps, or misleading statements in AI outputs and provide structured expert feedback Help develop and refine scientific communication strategies used to train AI models Assess AI responses to medical queries the way you would evaluate content destined for healthcare professionals Work independently and asynchronously on your own schedule Who You Are Background in medical affairs, clinical research, or scientific communications Demonstrated experience engaging healthcare professionals as an MSL, clinical educator, or scientific advisor Strong ability to interpret clinical publications, trial data, and regulatory materials Skilled at translating complex biomedical information into clear, accurate, and useful language Detail-oriented with a commitment to scientific rigor and accuracy No prior AI experience required Nice to Have Experience with data annotation, content evaluation, or quality review workflows Familiarity with medical writing, medical information, or regulatory submissions Advanced degree (PharmD, MD, PhD, or equivalent) in a life-science field Why Join Us Work on cutting-edge AI projects alongside top research labs and life-science organizations Fully remote and flexible — work on your own schedule Freelance perks: autonomy, variety, and global collaboration Contribute to meaningful work that improves how AI handles medical and clinical information Leverage your scientific expertise in an innovative and growing field Potential for ongoing work and contract extension

What you’ll do

Review AI-generated medical and clinical content for accuracy, clarity, and scientific integrity, including its interpretation of clinical trial data, safety information, and medical evidence. Identify errors or gaps and provide structured feedback to improve AI training and scientific communication.

Requirements

Candidates should have experience in medical affairs, clinical research, or scientific communications, with demonstrated experience engaging healthcare professionals as an MSL, clinical educator, or scientific advisor. They should be skilled at interpreting clinical publications, trial data, and regulatory materials and communicating complex biomedical information accurately; prior AI experience is not required.

Benefits

• Flexible Schedule
• Remote Work
• Autonomy
• Global Collaboration
• Potential for Ongoing Work and Contract Extension

Listed skills

• Accuracy · Preferred
• safety · Preferred
• Training · Preferred
• Flexible · Preferred
• Collaboration · Preferred
• Communication · Preferred
• materials · Preferred
• Detail-oriented · Preferred
• future · Preferred
• Organization · Preferred
• Évaluation · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Medical Affairs
• Clinical Research
• Scientific Communications
• Healthcare Professional Engagement
• Clinical Publication Interpretation
• Clinical Trial Data Interpretation
• Regulatory Materials Interpretation
• Biomedical Communication
• Medical Content Evaluation
• Scientific Accuracy
• AI Output Evaluation
• Structured Expert Feedback
• Data Annotation
• Medical Writing
• Quality Review

Job areas

• Healthcare
• Science & Research
• Technology
• Data & Analytics

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