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 and medical affairs professionals to help train and validate cutting-edge AI systems built for the life sciences. Your clinical expertise will directly shape how AI understands, communicates, and reasons through complex biomedical and medical evidence — making a real-world impact on the future of healthcare AI.
This is a flexible, remote contract role designed to fit around your existing schedule.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Review and evaluate AI-generated medical content for scientific accuracy, clinical relevance, and appropriate communication style
- Apply your expertise to validate clinical trial summaries, medical evidence narratives, and healthcare-facing scientific communications
- Identify gaps, errors, or misleading representations in AI outputs and provide structured, expert feedback
- Help develop scientific communication frameworks that reflect real-world MSL standards and HCP engagement best practices
- Ensure AI-generated biomedical content meets the standards expected of field-based medical professionals
- Work independently and asynchronously on task-based assignments
Who You Are
- Background in medical affairs, clinical research, or scientific communications with hands-on experience engaging healthcare professionals
- Strong ability to interpret clinical data, medical publications, and regulatory materials
- Experience in a field-based or externally facing medical role — such as Medical Science Liaison, clinical educator, medical advisor, or scientific communications specialist
- High attention to detail and commitment to scientific integrity
- Clear, structured written communication skills
- No prior AI or data annotation experience required
Nice to Have
- Prior experience with data annotation, content evaluation, or quality review systems
- Familiarity with AI tools or interest in how scientific knowledge is applied in machine learning contexts
- Experience across multiple therapeutic areas or disease states
Why Join Us
- Work on cutting-edge AI projects partnered with leading life-science and AI research organizations
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance perks: autonomy, variety, and collaboration with a global network of experts
- Contribute to meaningful work that advances how AI handles medical knowledge responsibly
- Potential for ongoing work and contract extension
You will be redirected to the company's website to complete your application.