Healthcare Subject Matter Expert – AI Model Evaluation

🕒 2 dias atrás

💵 $15 - $35 / hora

⏳ Contrato/Temporário

🟡 Pleno

🟠 Sênior

🤖 Inteligência Artificial

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Volga Partners

Volga Partners

1001 - 5000 funcionários

Fundada em 2020

🤖 Inteligência Artificial

🤝 B2B

🏢 Corporativo

Artificial Intelligence • B2B • Enterprise

A Volga Partners é uma empresa de serviços de tecnologia que se especializa em soluções de Inteligência Artificial e Aprendizado de Máquina, anotação e rotulagem de dados, e desenvolvimento de plataformas de atendimento ao cliente movidas por IA generativa. A empresa também oferece serviços de desenvolvimento de TI e software para web, aplicativos, full-stack, consultoria em cibersegurança e suporte a e-commerce, apoiados por uma grande força de trabalho multilíngue e recursos remotos sob demanda. A Volga Partners foca em parcerias com clientes empresariais para entregar ferramentas de IA escaláveis e econômicas, moderação de conteúdo, serviços linguísticos e projetos de software gerenciados.

Descrição

• Evaluate AI-generated healthcare information for factual accuracy, completeness, clinical relevance, and consistency with established medical knowledge and guidelines • Assess AI-generated clinical assessments, differential diagnoses, and treatment-related explanations • Identify factual errors, unsupported assumptions, missing clinical considerations, and potential patient safety concerns • Conduct medical research and verify information using peer-reviewed literature, clinical practice guidelines, and established healthcare resources • Analyze hypothetical patient cases, symptoms, medical histories, laboratory findings, and diagnostic information • Provide evidence-based feedback and recommend appropriate corrections • Follow project-specific scoring rubrics, annotation instructions, and quality assurance guidelines • Complete independent evaluation tasks using designated online platforms, including DataCompute • Meet established deadlines and quality expectations • Maintain confidentiality and comply with privacy, ethical, and data security requirements

🎯 Requisitos

• Current enrollment in the third or fourth year of a recognized medical degree program, an eligible medical internship or residency, or an advanced NP or PA educational program with relevant clinical training • Relevant academic coursework, clinical rotations, or supervised training in General Practice, Family Medicine, Internal Medicine, Nurse Practitioner practice, or Physician Assistant practice • Strong understanding of medical terminology, anatomy, physiology, pathology, pharmacology, and relevant clinical concepts • Ability to assess medical scenarios, interpret clinical information, and distinguish evidence-based reasoning from inaccurate or unsupported conclusions • Ability to research medical literature, interpret clinical guidelines, and validate findings using authoritative healthcare resources • Strong analytical reasoning, problem-solving abilities, and attention to detail • Excellent written English skills • Comfort working with computers, web-based platforms, digital documentation, and online research tools • Ability to follow detailed instructions, complete assignments independently, and meet quality requirements • Willingness to participate in a remote, freelance engagement with project-determined assignments and schedules • Second-year medical students must be enrolled at a top medical school • Relevant specialty or study track required • Independent medical licensure and previous employment as a licensed physician, Nurse Practitioner, or Physician Assistant are not required for eligible student-level evaluation assignments • Previous AI experience is not required • Qualified applicants may be required to complete a medical knowledge or clinical reasoning assessment

🏖️ Benefícios

• Project-based hourly compensation • Remote work from an eligible location • Flexible, variable schedule with potential weekday and weekend assignments • Exposure to AI evaluation, medical content assessment, and evidence-based research • Opportunity to apply medical education to emerging healthcare technology • Assignments distributed based on project needs and availability

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