Medical Science Liaison (MSL) — AI Training About The Role We're looking for experienced Medical Science Liaisons and clinical science professionals to help train and validate AI systems being developed for life-science and medical applications. Your expertise in translating complex clinical data into clear, accurate communication is exactly what's needed to make AI smarter, safer, and more scientifically sound. This is a fully remote, adaptable contract role — work on your own schedule while making a meaningful contribution 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 appropriateness for healthcare professional audiences * Validate that clinical trial data, safety information, and medical evidence are correctly interpreted and communicated by AI models * Identify errors, misrepresentations, or gaps in AI-generated scientific narratives and provide structured,



actionable feedback * Apply your MSL expertise to assess how well AI outputs reflect real-world medical affairs standards and HCP communication best practices * Support data quality and annotation workflows to improve AI performance on biomedical and clinical tasks * Work independently and asynchronously on task-based assignments Who You Are * Background in medical affairs, clinical research, or scientific communications with direct experience engaging healthcare professionals * Strong ability to interpret clinical publications, trial data, and regulatory materials * Experience in a field-based or externally facing medical role — MSL, clinical educator, scientific advisor, or similar * Comfortable evaluating scientific content for accuracy, completeness, and communication quality * Detail-oriented, self‑motivated, and able to work independently Nice to Have * Prior experience with data annotation, content evaluatio

📌 Medical Science Liaison (Madrid)
🏢 Alignerr
📍 Madrid