Medical Science Liaison (MSL)
- Pay
- $35–$75/hr
- Location
- Worldwide
- Type
- Contract
- Posted
- Jul 18, 2026
- Languages
- English
- Who can apply
- Not available in Kenya, Afghanistan, Burundi, Central African Republic, Republic of the Congo, Cuba, Dr Congo, Eritrea, Guinea, Guinea Bissau, Iran, Iraq, Liberia, Libya, Myanmar, North Korea, Papua New Guinea, Somalia, South Sudan, Sudan, Syria, Vanuatu, Venezuela, Yemen
Medical Science Liaison (MSL) — AI Training
About the Role
We're looking for experienced Medical Science Liaisons and clinical communications professionals to help build and validate AI systems trained on biomedical and life-science content. Your scientific expertise will directly shape how AI understands, interprets, and communicates complex medical information — making a real impact on the future of healthcare AI.
This is a remote, flexible contractor role designed for working professionals who want to contribute their domain expertise to cutting-edge AI research.
- 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 appropriate context
- Validate how AI systems interpret clinical trial data, medical literature, and regulatory materials
- Develop and assess scientific communication outputs tailored to healthcare professional audiences
- Identify errors, gaps, or misleading language in AI-generated biomedical content
- Provide structured expert feedback to improve AI model quality and scientific integrity
- Work independently and asynchronously on your own schedule
Who You Are
- Background in medical affairs, clinical research, or scientific communications
- Proven experience engaging healthcare professionals (HCPs) in a field-based or externally facing role
- Strong ability to interpret clinical data, peer-reviewed publications, and regulatory documents
- Clear, precise written communication skills
- Detail-oriented with a commitment to scientific accuracy
- Prior experience as an MSL, clinical educator, or scientific advisor strongly preferred
Nice to Have
- Experience with data annotation, content evaluation, or AI quality review workflows
- Familiarity with medical information systems or evidence synthesis
- Background in pharmacology, oncology, rare disease, or other therapeutic areas
Why Join Us
- Work on cutting-edge AI projects at the intersection of life science and artificial intelligence
- 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 critical medical information
- Potential for ongoing work and contract extension
