Clinical Appeals Nurse - AI Trainer
DataAnnotation · California, United States
- Hybrid
- Full-time
- $104,000 / year
- California, 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 using clinical expertise.
- Evaluate AI outputs for accuracy and logic.
- Work remotely on your own schedule.
- Earn $50+ per hour plus bonuses.
- Requires 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 Training
- Healthcare Expertise
- Clinical Documentation
- HIM
- Medication Management
- Quality Improvement
- Patient Safety
- Regulatory Compliance
- Case Management
Skills & topics
- Clinical Appeals Nurse
- AI Trainer
- Healthcare
- Medical Degree
- Remote Work
- Data Annotation
- HIM
- Quality Improvement
- Case Management
- Nursing
How to get hired
- Tailor your resume: Highlight your clinical appeals nursing experience and any AI or data training exposure. Use keywords from the job description like 'healthcare expertise' and 'AI trainer'.
- Craft a strong application: Clearly articulate your relevant background in areas such as Clinical Documentation, Quality Improvement, or Managed Care within your cover letter or application questions.
- Demonstrate expertise: Be ready to showcase your deep understanding of healthcare processes and your ability to evaluate complex information for accuracy during the assessment or interview stages.
- Prepare for the assessment: Familiarize yourself with AI chatbot interactions and practice evaluating outputs for logic and medical accuracy, as this is a core part of the role.
Technical preparation
Review AI chatbot interaction principles.,Practice evaluating AI responses for medical accuracy.,Familiarize with clinical documentation standards.,Understand logic and performance evaluation.
Behavioral questions
Describe a complex patient case you managed.,How do you ensure accuracy in your work?,How do you handle ambiguous information?,Tell us about your experience with healthcare regulations.
Frequently asked questions
- What specific healthcare backgrounds are DataAnnotation looking for in a Clinical Appeals Nurse AI Trainer?
- DataAnnotation is seeking expertise in a wide range of healthcare fields, including 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. Your background as a Clinical Appeals Nurse is highly relevant.
- What are the remote work advantages for a Clinical Appeals Nurse AI Trainer at DataAnnotation?
- As a Clinical Appeals Nurse AI Trainer with DataAnnotation, you benefit from the flexibility to choose your projects and work on your own schedule, from your own computer, all from the comfort of your home. This independent contractor role offers significant work-life balance.
- How does compensation work for the Clinical Appeals Nurse AI Trainer role at DataAnnotation?
- Projects are paid hourly, starting at $50+ per hour. Additionally, there are opportunities for bonus rates on certain projects. Payment is processed via PayPal.
- 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. Clinical Appeals Nurse experience is highly valued.
- Is this Clinical Appeals Nurse AI Trainer role a full-time or part-time position?
- This is an independent contractor position, offering flexibility in terms of hours and project selection. While not a traditional full-time or part-time employee role, it allows you to set your own schedule and workload.
- Can international applicants apply for the Clinical Appeals Nurse AI Trainer job?
- No, only applicants located in the United States will be considered for this Clinical Appeals Nurse AI Trainer role. PayPal will handle any currency conversions from USD.