Clinical Appeals Nurse - AI Trainer
DataAnnotation · Florida, United States
- Hybrid
- Full-time
- $50,000 / year
- Florida, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
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Job highlights
- Train AI models with healthcare expertise.
- Evaluate AI outputs for accuracy and logic.
- Work on your own schedule 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.
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 Trainer
- Healthcare Expertise
- Medical Accuracy
- Quality Improvement
- Patient Safety
- Regulatory Compliance
- Case Management
- Utilization Management
- Medication Management
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare AI
- Medical Documentation
- HIM
- Quality Improvement
- Patient Safety
- Regulatory Compliance
- Case Management
- Utilization Management
- Remote Work
- Contractor
How to get hired
- Tailor your resume: Highlight your clinical appeals experience and AI training capabilities, referencing specific healthcare domains mentioned in the job description.
- Showcase expertise: Emphasize your fluency in English and your current or in-progress medical or healthcare-related degree.
- Demonstrate AI understanding: Detail any experience you have in evaluating or improving AI outputs, even if informal.
- Highlight self-management: Mention your ability to work independently on your own schedule, as this is an independent contractor role.
- Apply promptly: Given the specialized nature of this role, apply as soon as possible to be considered for this unique opportunity.
Technical preparation
Familiarize with AI chatbot interaction.,Review common healthcare AI applications.,Understand data evaluation metrics.,Prepare examples of complex cases.
Behavioral questions
Describe a complex healthcare appeal.,How do you ensure accuracy in your work?,How do you manage your schedule independently?,How do you handle diverse datasets?
Frequently asked questions
- What specific healthcare backgrounds are most sought after for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- DataAnnotation is interested in a broad range of healthcare expertise for the Clinical Appeals Nurse AI Trainer position. While Clinical Documentation & HIM is highly relevant, they also value backgrounds in 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 working conditions for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- As a Clinical Appeals Nurse AI Trainer at DataAnnotation, you will work as an independent contractor. You have the flexibility to choose your projects and set your own schedule, working from your own computer at home. This offers significant autonomy and work-life balance.
- What is the compensation for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- The role of Clinical Appeals Nurse AI Trainer at DataAnnotation offers competitive hourly pay starting at $50+ per hour, with potential for bonus rates on specific projects. Payments are processed via PayPal, and PayPal handles any currency conversions from USD.
- What qualifications are essential for the Clinical Appeals Nurse AI Trainer position?
- To be considered for the Clinical Appeals Nurse AI Trainer role, you must have native or bilingual level fluency in English. Additionally, you need to hold a current or in-progress medical or healthcare-related degree. Applicants must also be located within the United States.
- How does DataAnnotation ensure the quality of AI responses trained by Clinical Appeals Nurses?
- Clinical Appeals Nurse AI Trainers at DataAnnotation are responsible for evaluating AI outputs for logic, accuracy, and performance. Their expertise ensures the medical accuracy and overall quality of the model responses, making their role critical in AI development.