AI TRAINER – HEALTHCARE OPERATIONS
About the role
Join an innovative and impactful project shaping the future of healthcare AI! We are seeking a dedicated AI Trainer with a strong background in healthcare operations to help train and refine cutting-edge AI models over a 12-week remote engagement. If you’re passionate about healthcare, possess substantial industry experience, and are eager to contribute to transformative AI initiatives, this is your chance to make a difference while working flexibly from anywhere in the US, UK, or Canada.
As an AI Trainer, you will leverage your expertise to evaluate and enhance AI-generated responses within healthcare workflows such as medical coding, billing, utilization management, and payer operations. This fully remote role offers an engaging opportunity to utilize your healthcare knowledge in a forward-thinking environment, supporting the development of industry-specific AI tools that improve efficiency and accuracy across healthcare systems.
Responsibilities
- Evaluate and enhance AI-generated responses in healthcare workflows including medical coding, billing, utilization management, and payer operations.
- Provide detailed feedback to refine AI models for improved accuracy and efficiency in healthcare operations.
- Work independently with strong written communication skills to document and articulate insights.
Requirements
- 5-10 years of healthcare industry experience, especially in medical coding, billing, or healthcare operations.
- Practical expertise in medical coding (CPC, CCS, CCA preferred but optional) or significant healthcare operations background.
- Strong written communication skills and ability to work independently.
- Familiarity with AI and Large Language Models (LLMs) at a user level.
- Reliable availability for 30-40 hours per week throughout the 12-week project.
Nice to have skills
- Experience with AI tools and data annotation platforms.
- Previous work in structured, office-based roles such as coding, revenue cycle, or utilization review.
- Leadership or coordination experience in healthcare settings.
- Prior engagement with AI training or data validation projects.
Preferred education and experience
- Bachelor’s degree required.
- Healthcare certifications (e.g., CPC, CCS, CCA) are advantageous but not mandatory.
- Clinicians who have transitioned into administrative or operational roles are highly valued.
Other requirements
- Positioned primarily in the US; UK and Canada candidates may be considered with confirmation.
- Must pass a 3-4 hour paid skills assessment ($240) to qualify for the project.
- Full commitment and availability for the duration of the 12-week sprint.
- No patient care, shift work, or on-call responsibilities involved.