What are the responsibilities and job description for the Medical Science Liaison (MSL) position at Alignerr?
Medical Science Liaison (MSL) — AI Training
About The Role
Your clinical expertise is more valuable than ever — and not just in the field. We're looking for experienced Medical Science Liaisons and clinical science professionals to help train and validate cutting-edge AI systems being built for life-science applications.
At Alignerr, we partner with leading AI research teams to ensure that medical and scientific knowledge is accurately represented in next-generation AI. As an MSL contributor, you'll apply the same skills you use every day — interpreting clinical data, communicating complex science, and ensuring accuracy — to directly shape how AI understands and communicates medical information.
About The Role
Your clinical expertise is more valuable than ever — and not just in the field. We're looking for experienced Medical Science Liaisons and clinical science professionals to help train and validate cutting-edge AI systems being built for life-science applications.
At Alignerr, we partner with leading AI research teams to ensure that medical and scientific knowledge is accurately represented in next-generation AI. As an MSL contributor, you'll apply the same skills you use every day — interpreting clinical data, communicating complex science, and ensuring accuracy — to directly shape how AI understands and communicates medical information.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week (flexible)
- Review and evaluate AI-generated medical and clinical content for scientific accuracy, clarity, and appropriateness for healthcare professional audiences
- Interpret clinical trial data, published literature, and regulatory materials — and assess how well AI captures and communicates these accurately
- Validate AI outputs in medical affairs contexts, flagging errors, misrepresentations, or gaps in scientific reasoning
- Develop and refine scientific communication examples that help AI models better understand HCP-facing medical content
- Provide structured, expert feedback that directly improves AI model quality in biomedical domains
- Background in medical affairs, clinical research, or scientific communications with hands-on experience engaging healthcare professionals
- Strong ability to critically evaluate clinical data, publications, and medical evidence
- Experience in a field-based or externally facing medical role — such as Medical Science Liaison, clinical educator, medical advisor, or similar
- Comfortable working independently and asynchronously in a remote, task-based environment
- Detail-oriented with high standards for scientific integrity
- Prior experience with data annotation, content evaluation, or AI quality workflows
- Familiarity with regulatory or pharmacovigilance documentation
- Experience across multiple therapeutic areas
- Apply your MSL expertise to a genuinely novel and high-impact domain — AI for life sciences
- Fully remote and flexible — work on your own schedule, on your terms
- Contribute to meaningful projects at the intersection of medicine and cutting-edge AI
- Collaborate with a global network of scientific and research professionals
- Freelance autonomy with the substance of real scientific work
- Potential for ongoing work and contract extension
Salary : $35 - $75