Clinical Systems Analyst (AI Training) About the Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Medical Science Liaison (MSL)
Job description
Medical Science Liaison (MSL) — AI Training
About the Role
We're looking for experienced Medical Science Liaisons to help evaluate and improve AI systems trained on clinical and biomedical content. Your scientific expertise will directly shape how AI understands, communicates, and reasons about medical evidence — making a real impact on the future of life-science AI.
At Alignerr, we partner with the world's leading AI research teams to build AI systems grounded in real-world scientific knowledge. As an MSL contributor, your ability to interpret complex clinical data and communicate it clearly is exactly what these models need to get right.
- 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 scientific accuracy, clarity, and appropriateness for healthcare audiences
- Validate clinical summaries, evidence narratives, and biomedical explanations against current literature and regulatory standards
- Identify errors, misrepresentations, or gaps in AI-generated outputs related to clinical trial data, drug safety, and medical science
- Provide structured, expert feedback to help improve AI model quality and scientific integrity
- Work independently and asynchronously on a schedule that fits your lifestyle
Who You Are
- Background in medical affairs, clinical research, or scientific communications
- Experience engaging healthcare professionals (HCPs) in a field-based or externally facing capacity — e.g., Medical Science Liaison, clinical educator, or scientific advisor
- Strong ability to interpret clinical data, peer-reviewed publications, and regulatory materials
- Clear, concise communicator who can bridge the gap between complex science and practical application
- Detail-oriented and reliable when working independently
Nice to Have
- Prior experience with data annotation, content evaluation, or AI quality review workflows
- Familiarity with pharmacovigilance, medical information, or health economics and outcomes research (HEOR)
- Advanced degree in a life-science discipline (MD, PharmD, PhD, or equivalent)
Why Join Us
- Work on cutting-edge AI projects at the intersection of medicine and artificial intelligence
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and global collaboration with top research teams
- Contribute to meaningful work that helps AI get medical science right
- Potential for ongoing work and contract extension
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