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, versátil 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 evaluation, or AI qua

📌 Medical Science Liaison (Madrid)
🏢 Alignerr
📍 Madrid