Medical Experts - General Physician (USA) - AI Clinical Evaluation
eDataBae · United States · 1 wk ago
RemoteRemoteHealthcareContract
We are seeking U.S.-based, fully licensed Medical Doctors to support a project focused on evaluating and improving AI-generated medical content. You’ll apply your clinical expertise to assess AI outputs for medical accuracy, safety, completeness, and relevance, helping improve the quality and reliability of AI systems in healthcare. What You'll Do Review AI-generated medical content for accuracy, safety, completeness, and potential harm.Evaluate AI-generated diagnoses, treatment plans, and clinical case summaries.Identify medical inaccuracies, omissions, or potentially unsafe recommendations.Provide structured expert feedback to improve clinical quality and safety.Apply evidence-based medical judgment when evaluating AI outputs.Collaborate with researchers and other healthcare professionals through online platforms. What We're Looking For Medical Doctor (MD) or recognized international equivalent such as MBBS, MBChB, or Medical Diploma.Active U.S. medical license and currently practicing medicine in the United States.1+ year of post-residency clinical experience practicing as a physician in the U.S.Strong attention to detail and clinical reasoning skills.Comfortable working with web-based platforms and structured questionnaires.Able to follow detailed evaluation guidelines accurately.Technically comfortable using online annotation tools and image/document viewing features.Experience in medical content review, clinical research, annotation, or AI/ML evaluation is a plus. Project Details Role: Medical Doctor - AI Clinical EvaluationWork Type: Project-based / ContractLocation: Remote - U.S.-basedExperience: 1+ year post-residencySpecialization: No specific medical specialty required Interested candidates can apply with an updated CV, highlighting their clinical experience, current U.S. licensure, and relevant medical or research experience. Skills: healthcare,annotation,doctors,clinical research,clinical quality,research