Nurse Practitioner Clinical AI Reviewer

You will evaluate AI-generated clinical responses and create expert healthcare content. Your reviews will focus on clinical accuracy, reasoning quality, clarity, prompt adherence, and patient safety.

You will also write gold-standard answers, create detailed clinical prompts, and compare multiple model responses to identify the safer and more correct answer.

• Review AI-generated answers for accuracy, safety, clarity, and adherence to the prompt.
• Assess advanced clinical reasoning, including differential diagnosis, triage, red-flag recognition, escalation, and test selection or interpretation.
• Check prescribing and medication management for contraindications, interactions, monitoring needs, and other safety concerns within your scope.
• Create prompts and reference answers covering assessment, diagnosis, management, patient education, and documentation.
• Identify unsafe assumptions, missing contraindications, inappropriate tests or therapies, bias, and gaps in care pathways.
• Write clear explanations and model solutions that demonstrate sound clinical reasoning.
• Compare and rank responses for correctness, clarity, internal consistency, guideline alignment, setting appropriateness, and patient-safety implications.

This is a remote, part-time contractor role with country-specific hiring availability. The listing is marked as entry level, while the work requires advanced nursing expertise and clinical judgment.

• Pay: $40 to $90 per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote contractor work.
• Open to candidates in Bangladesh, Bhutan, Brazil, Cambodia, Germany, India, Indonesia, Malaysia, Nepal, Pakistan, Singapore, Sri Lanka, Thailand, the Philippines, the United States, Timor-Leste, and Vietnam.
• Language: C1 English proficiency.
• Qualification: NP, APRN, or an equivalent advanced practice nursing qualification.
• Licensure: Active licensure or registration, or eligibility, in at least one jurisdiction.
• Clinical skill: Strong advanced reasoning across diagnosis, differential thinking, triage, red-flag recognition, escalation, medication safety, contraindications, interactions, and monitoring plans.
• Preferred background: AI data training, annotation, clinical documentation review, utilization review, guideline work, or healthcare editorial quality assurance.
• Relevant advanced practice backgrounds include family, adult-gerontology, acute care, pediatric, psychiatric-mental health, women's health, neonatal, oncology, cardiology, emergency, trauma, intensive care, perioperative, wound care, diabetes education, and community or public health nursing.

You apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind systems that generate answers and make decisions. Healthcare experts review examples, explain what is correct, and flag unsafe reasoning so models can produce more reliable clinical responses.