Non-Invasive Clinical Cardiologist - AI Trainer

We’re looking for an experienced Cardiologist to help train AI models. You’ll measure how well the models answer clinical questions in cardiology, check their reasoning, and help raise the quality of each new version. This is a new area for our company: teaching AI to reason about conditions of the heart and cardiovascular system the way a skilled cardiologist would, reading a presentation, weighing the workup, and knowing what actually changes management. Open to cardiologists and to the clinicians who practice alongside them. What you’ll actually do Review AI responses to clinical questions alongside the context a clinician would have when answering them. Rate each response on accuracy, completeness, safety, and usefulness to the person asking. Compare two independent responses to the same question, decide which one a clinician would rely on, and log each discrepancy. Write a clear, detailed rationale for your call, including what the weaker response still got right. Pinpoint what model responses miss, misstate, or leave incomplete, from an incomplete differential to a missed contraindication or an overlooked finding. Roles this fits Common backgrounds: Cardiologist, General Cardiologist, Cardiology Nurse Practitioner. What we look for A board-certified cardiologist with 3+ years of post-fellowship experience, or a nurse, NP, PA, or other licensed clinician with clinical cardiology experience. Hands-on clinical experience with conditions of the heart and cardiovascular system. Fluency in English (native or bilingual level). Clear, well-organized writing and close attention to detail. Only applicants based in Australia, Canada, Ireland, New Zealand, the United Kingdom, or the United States will be considered for this role. Compensation Up to $125+/hr depending on task difficulty and specialization. Many contributors add $100k–$200k a year; some make it their full-time income. About DataAnnotation DataAnnotation is where 1M+ experts train the world’s leading AI models. Hundreds of millions paid to contributors to date, and the average contributor stays 5+ years. Flexible, remote, and always project-available. #J-18808-Ljbffr DataAnnotation