
Clinical Appeals Nurse - AI Trainer
DataAnnotation · Utah, United States
- Hybrid
- Full-time
- $50,000 / year
- Utah, United States
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Job highlights
- Train AI models using healthcare expertise.
- Evaluate AI outputs for accuracy and performance.
- Work flexible hours from home.
- Earn $50+ per hour plus bonuses.
- Requires a healthcare degree and English fluency.
About the role
About The Job
We are looking for an existing Clinical Appeals Nurse to help train AI models. In this role, you will need to be an expert in healthcare. We are interested in a wide range of expertise, so relevant backgrounds include Clinical Documentation & HIM, Medication Management (PharmD), Laboratory Medicine and Pathology Services (MLS, MD), Quality Improvement & Patient Safety, Regulatory Compliance, Accreditation & Medical Staff, Care Coordination & Case Management, Population Health & Value-Based Care, and Managed Care & Utilization Management.
Advantages Of Contracting With Us
- You'll be able to choose which projects you want to work on and when
- You work on your own schedule, on your own computer, from the comfort of your own home
- Projects are paid hourly starting at $50+ per hour, with bonus rates available on some projects
Responsibilities
- Provide AI chatbots with diverse and complex healthcare-related problems
- Evaluate AI outputs for logic, accuracy, and performance
- Ensure the medical accuracy and overall quality of model responses
Qualifications
- Fluency in English (native or bilingual level)
- A current or in-progress medical or healthcare-related degree
Key Skills/Competency
- Clinical Appeals Nursing
- AI Training
- Healthcare Expertise
- Medical Accuracy
- Quality Assurance
- Problem Solving
- Regulatory Compliance
- Case Management
- Utilization Management
- Data Evaluation
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare AI
- Medical Documentation
- HIM
- PharmD
- Quality Improvement
- Regulatory Compliance
- Case Management
- Utilization Management
- Remote Work
- Contractor
How to get hired
- Tailor your resume: Highlight your clinical appeals nursing experience and AI training capabilities, using keywords from the job description.
- Showcase your expertise: Emphasize your specific healthcare background (e.g., HIM, PharmD, Quality Improvement) in your application and any introductory materials.
- Demonstrate fluency: Clearly state your native or bilingual English proficiency and mention any relevant medical or healthcare degrees.
- Understand the role: Be prepared to discuss how you would evaluate AI outputs for accuracy and logical consistency in healthcare scenarios.
Technical preparation
Study common AI chatbot interaction patterns.,Review clinical documentation and appeals processes.,Familiarize yourself with AI output evaluation metrics.,Practice identifying logical and medical inaccuracies.
Behavioral questions
Describe a complex healthcare appeal you managed.,How do you ensure accuracy in detailed work?,How would you handle ambiguous AI output?,Discuss your experience with healthcare regulations.
Frequently asked questions
- What specific healthcare backgrounds are most valued for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- DataAnnotation is interested in a wide range of healthcare expertise for their Clinical Appeals Nurse AI Trainer role. This includes, but is not limited to, Clinical Documentation & HIM, Medication Management (PharmD), Laboratory Medicine and Pathology Services (MLS, MD), Quality Improvement & Patient Safety, Regulatory Compliance, Accreditation & Medical Staff, Care Coordination & Case Management, Population Health & Value-Based Care, and Managed Care & Utilization Management.
- What are the payment terms for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- Clinical Appeals Nurse AI Trainers at DataAnnotation are paid hourly, starting at $50+ per hour, with potential for bonus rates on certain projects. Payment is made via PayPal, and PayPal handles any currency conversions from USD.
- Am I eligible for the Clinical Appeals Nurse AI Trainer position if I am not a US resident?
- No, only applicants who are currently located in the United States will be considered for the Clinical Appeals Nurse AI Trainer role at DataAnnotation.
- What technical skills are essential for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- For the Clinical Appeals Nurse AI Trainer role, essential technical skills include providing AI chatbots with complex healthcare problems, evaluating AI outputs for logic and accuracy, and ensuring the medical accuracy and quality of AI responses.
- Does DataAnnotation require a specific degree for the Clinical Appeals Nurse AI Trainer position?
- Yes, DataAnnotation requires applicants for the Clinical Appeals Nurse AI Trainer position to have a current or in-progress medical or healthcare-related degree. Native or bilingual level fluency in English is also a requirement.
- How does the work arrangement work for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- The Clinical Appeals Nurse AI Trainer position is an independent contractor role. You can choose which projects to work on and when, operating on your own schedule from your own computer at home.