Clinical Appeals Nurse - AI Trainer
DataAnnotation · Michigan, United States
- Hybrid
- Full-time
- $50,000 / year
- Michigan, United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Train AI models using healthcare expertise.
- Evaluate AI outputs for accuracy and performance.
- Work remotely on your own schedule.
- Earn $50+ per hour plus bonuses.
- Requires medical/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 DataAnnotation
- 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
- Medical Accuracy
- Quality Improvement
- Regulatory Compliance
- Case Management
- Population Health
- Managed Care
- Utilization Management
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare AI
- Medical Accuracy
- Remote Work
- Nursing
- HIM
- Quality Improvement
- Utilization Management
- Independent Contractor
How to get hired
- Tailor your resume: Highlight your clinical appeals experience and AI training potential.
- Showcase healthcare expertise: Detail specific areas like documentation, quality, or managed care.
- Emphasize AI evaluation skills: Mention experience with logic, accuracy, and performance assessment.
- Note your availability: Clearly state your flexibility for project selection and work hours.
Technical preparation
Study AI chatbot interaction principles.,Review common healthcare data standards.,Practice evaluating technical output logic.,Familiarize with AI model performance metrics.
Behavioral questions
Describe a complex clinical appeal case.,How do you ensure medical accuracy?,How do you handle detailed feedback?,How do you manage your own schedule?
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 primary responsibilities include providing AI chatbots with 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 required to become a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- To qualify for the Clinical Appeals Nurse AI Trainer role, you need to be fluent in English (native or bilingual level) and hold a current or in-progress medical or healthcare-related degree. Prior experience as a Clinical Appeals Nurse is highly preferred.
- Can I work from anywhere in the United States as a Clinical Appeals Nurse AI Trainer for DataAnnotation?
- Yes, this is a remote, independent contractor position. You can work from your own computer from the comfort of your home. However, only applicants currently residing in the United States will be considered for this role.
- What is the expected hourly pay for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- Projects for the Clinical Appeals Nurse AI Trainer role are paid hourly starting at $50+ per hour. Additionally, bonus rates may be available on certain projects, offering potential for higher earnings.
- How is payment handled for the Clinical Appeals Nurse AI Trainer position at DataAnnotation?
- Payment for the Clinical Appeals Nurse AI Trainer role is made via PayPal. DataAnnotation will never ask for any money from you, and PayPal will handle any currency conversions from USD.
- Is this a full-time or part-time opportunity as a Clinical Appeals Nurse AI Trainer?
- This is an independent contractor position, offering flexibility. You can choose which projects you want to work on and when, allowing you to set your own schedule and work part-time or on a project-by-project basis.