Clinical Appeals Nurse - AI Trainer
DataAnnotation · Tennessee, United States
- Hybrid
- Full-time
- $50,000 / year
- Tennessee, United States
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Job highlights
- Train AI models using healthcare expertise.
- Evaluate AI chatbot responses for accuracy.
- 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.
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
- Healthcare AI
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare AI
- Medical Documentation
- Quality Improvement
- Patient Safety
- Remote Work
- Contractor
- DataAnnotation
- Nurse
How to get hired
- Tailor your resume: Highlight your clinical appeals experience and AI interest.
- Showcase expertise: Emphasize your background in specific healthcare areas mentioned.
- Demonstrate technical aptitude: Mention any experience with AI or data evaluation.
- Apply promptly: As an independent contractor role, positions may fill quickly.
Technical preparation
Review common AI chatbot interaction patterns.,Familiarize yourself with AI output evaluation metrics.,Prepare examples of complex healthcare scenarios.,Understand data privacy in healthcare AI.
Behavioral questions
Describe a complex appeal you managed.,How do you ensure accuracy in your work?,How would you handle ambiguous AI feedback?,Explain a time you improved a process.
Frequently asked questions
- What specific healthcare backgrounds are DataAnnotation seeking for the Clinical Appeals Nurse AI Trainer role?
- DataAnnotation is interested in a wide range of healthcare backgrounds for the Clinical Appeals Nurse AI Trainer position. This includes expertise in 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 primary responsibilities of a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- As a Clinical Appeals Nurse AI Trainer, your main responsibilities will involve providing AI chatbots with diverse and complex healthcare-related problems, evaluating AI outputs for logic, accuracy, and performance, and ensuring the medical accuracy and overall quality of model responses.
- 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 and possess a current or in-progress medical or healthcare-related degree. Previous experience as a Clinical Appeals Nurse is also a key requirement.
- Can I work remotely as a Clinical Appeals Nurse AI Trainer for DataAnnotation?
- Yes, this is a remote independent contractor position. You will work on your own schedule, using your own computer, from the comfort of your own home.
- What is the pay rate for the Clinical Appeals Nurse AI Trainer role?
- The Clinical Appeals Nurse AI Trainer projects are paid hourly, starting at $50+ per hour. Bonus rates may be available on certain projects.
- Are there any restrictions on where applicants can be located for the Clinical Appeals Nurse AI Trainer job?
- Yes, only applicants located within the United States will be considered for this specific Clinical Appeals Nurse AI Trainer role. Payment is made via PayPal, which handles currency conversions from USD.
- How does DataAnnotation ensure the security of payment for Clinical Appeals Nurse AI Trainers?
- DataAnnotation ensures secure payment via PayPal and explicitly states they will never ask for money from you. PayPal handles all currency conversions from USD, providing a straightforward payment process for contractors.