Clinical Appeals Nurse - AI Trainer
DataAnnotation · Oregon, United States
- Hybrid
- Full-time
- $50,000 / year
- Oregon, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train AI models using clinical appeals expertise.
- Evaluate AI outputs for accuracy and performance.
- Ensure medical accuracy of AI responses.
- Work flexible hours from home.
- Earn $50+ per hour plus bonuses.
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.
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contractor position.
Key skills/competency
- Clinical Appeals Nurse
- AI Training
- Healthcare Expertise
- Clinical Documentation
- HIM
- Medication Management
- Quality Improvement
- Patient Safety
- Regulatory Compliance
- Managed Care
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare
- Medical
- Nurse
- AI
- Machine Learning
- HIM
- Quality Improvement
- Remote Work
How to get hired
- Tailor your resume: Highlight your clinical appeals experience and AI interest.
- Showcase healthcare expertise: Detail your background in relevant areas like HIM or Quality Improvement.
- Emphasize AI evaluation skills: Mention experience with logic, accuracy, and performance assessment.
- Apply promptly: Ensure your application clearly states your English fluency and medical degree status.
- Review project details: Understand the independent contractor nature of the role.
Technical preparation
Familiarize with AI chatbot interactions.,Practice evaluating AI logic and accuracy.,Review common healthcare data complexities.,Understand model performance metrics.
Behavioral questions
Describe a complex healthcare appeal case.,How do you ensure accuracy in your work?,How do you adapt to new technology?,What motivates you in a remote role?
Frequently asked questions
- What specific clinical appeals experience is most valuable for this AI Trainer role at DataAnnotation?
- DataAnnotation values a broad range of clinical appeals experience. Expertise in areas like Clinical Documentation & HIM, Quality Improvement & Patient Safety, Regulatory Compliance, Managed Care & Utilization Management, and Care Coordination & Case Management are highly relevant for training AI models effectively.
- How does DataAnnotation ensure the quality of AI outputs in the Clinical Appeals Nurse AI Trainer role?
- As a Clinical Appeals Nurse AI Trainer, you will be responsible for evaluating AI outputs for logic, accuracy, and overall performance, ensuring the medical accuracy and quality of model responses.
- Is there a specific degree required for the Clinical Appeals Nurse AI Trainer position at DataAnnotation?
- Yes, applicants must have a current or in-progress medical or healthcare-related degree. This ensures a strong foundation of expertise needed for training AI models in complex healthcare scenarios.
- What are the working arrangements for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- This is an independent contractor position. You have the flexibility to choose projects, work on your own schedule, from your own computer, and from the comfort of your own home.
- How is payment handled for the Clinical Appeals Nurse AI Trainer role with DataAnnotation?
- Payment is made hourly via PayPal, starting at $50+ per hour, with potential for bonus rates on specific projects. PayPal handles any currency conversions from USD.
- Does DataAnnotation recruit internationally for the Clinical Appeals Nurse AI Trainer position?
- No, only applicants residing in the United States will be considered for this Clinical Appeals Nurse AI Trainer role.
- What level of English proficiency is required for the Clinical Appeals Nurse AI Trainer role?
- Fluency in English, at a native or bilingual level, is a mandatory qualification for this AI Trainer position.