We're looking for Health Informatics Analysts to bring their clinical data expertise to one of the most exciting frontiers in tech: AI development. At Alignerr, we partner with the world's leading AI research teams to build and train cutting-edge models — and your domain knowledge is exactly what's needed to make AI smarter in healthcare.
This is a fully remote, adaptable contract role where your real-world experience with EHR systems and healthcare data directly shapes how AI understands and reasons about clinical information.
• Analyze and evaluate AI-generated outputs related to healthcare data, EHR workflows, and clinical decision-making
• Apply your knowledge of health information systems to assess accuracy, completeness, and real-world applicability
• Identify errors, gaps, or misleading outputs in AI responses involving clinical or administrative healthcare scenarios
• Provide structured,
expert feedback using clear rating rubrics and written notes
• Help train AI models to better understand and reason about complex healthcare environments
• Work independently and asynchronously on your own schedule
Who You Are
• Experienced working with healthcare data, EHR systems, or clinical reporting platforms
• Strong analytical skills with a background in data interpretation, reporting, or trend analysis
• Able to assess technical outputs critically and communicate findings clearly in writing
• Comfortable collaborating across clinical, technical, and operational domains
• Detail-oriented, reliable, and self-motivated
Nice to Have
• Experience with data annotation, data quality review, or AI evaluation workflows
• Familiarity with HL7, FHIR, or interoperability standards
• Background in clinical informatics, health IT, or healthcare administration
Why Join Us
• Work on cutting-edge AI projec
📌 Health Informatics Analyst (Madrid)
🏢 Alignerr
📍 Madrid
Postulate a este anuncio
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.