Clinical Appeals Nurse - AI Trainer
DataAnnotation · North Carolina, United States
- Hybrid
- Full-time
- $75,000 / year
- North Carolina, United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Train AI models using clinical expertise.
- Evaluate AI outputs for accuracy and performance.
- Work flexible hours on chosen projects.
- Earn $50+ per hour from home.
- Requires healthcare degree and English fluency.
About the role
Clinical Appeals Nurse AI Trainer
DataAnnotation is seeking an experienced Clinical Appeals Nurse to train AI models. This role requires deep expertise in healthcare to evaluate and improve AI performance.
About The Role
In this role, you will leverage your extensive healthcare knowledge to train AI models. We are interested in a wide range of expertise, including but 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
- Managed Care & Utilization Management
Advantages Of Contracting With DataAnnotation
- Choose your projects and work on your own schedule.
- Work from home on your own computer.
- Competitive hourly pay starting at $50+, with potential for bonus rates.
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.
- Only applicants in the United States will be considered.
Note: Payment is made via PayPal. This is an independent contractor position.
Key skills/competency
- Clinical Appeals Nurse
- AI Training
- Healthcare Expertise
- Medical Accuracy
- Quality Improvement
- Regulatory Compliance
- Case Management
- Utilization Management
- DataAnnotation
- Healthcare AI
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare
- Medical Degree
- Remote Work
- Contractor
- English Fluency
- DataAnnotation
- AI Model Training
- Quality Assurance
How to get hired
- Tailor your resume: Highlight clinical appeals experience and AI training relevance.
- Showcase expertise: Emphasize specific healthcare backgrounds listed in the job description.
- Demonstrate AI interest: Mention any experience or passion for AI and data.
- Apply promptly: Ensure your application reflects fluency in English and your degree status.
Technical preparation
Understand AI evaluation metrics.,Familiarize with chatbot interaction principles.,Review common AI biases in healthcare.,Practice prompt engineering basics.
Behavioral questions
Describe a complex clinical appeal case.,How do you ensure accuracy in your work?,How do you adapt to new technology?,How do you manage your time independently?
Frequently asked questions
- What specific healthcare backgrounds are most valued for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- DataAnnotation values a broad range of healthcare expertise for the Clinical Appeals Nurse AI Trainer role. This includes 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. Highlighting any of these areas on your resume can strengthen your application.
- What are the expected working hours and location for the Clinical Appeals Nurse AI Trainer position?
- This is an independent contractor position with DataAnnotation, offering flexibility. You can choose which projects to work on and set your own schedule. The role is fully remote, allowing you to work from your own computer in the comfort of your home. Only applicants located in the United States will be considered.
- How is payment handled for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- Payment for the Clinical Appeals Nurse AI Trainer role is processed hourly via PayPal. The starting rate is $50+ per hour, with bonus rates available for certain projects. DataAnnotation handles currency conversions from USD, and they will never ask you for money.
- What qualifications are essential for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- To qualify for the Clinical Appeals Nurse AI Trainer role at DataAnnotation, you must have native or bilingual level fluency in English. Additionally, you need to possess a current or in-progress medical or healthcare-related degree. Applicants must also be located within the United States.
- Can international applicants apply for the Clinical Appeals Nurse AI Trainer job at DataAnnotation?
- No, unfortunately, only applicants who are currently located within the United States will be considered for the Clinical Appeals Nurse AI Trainer position at DataAnnotation. This is a key requirement for this role.