Job Title: Digital Addiction Psychiatrist - AI trainer
Job Type: Contract (Full-time or Part-time)
Location: Remote (US-based)
Rate: $350 USD/hour
Job Summary:
Join our customer's team as a Digital Addiction Psychiatrist - AI trainer to shape the next generation of AI-driven mental health solutions. In this unique role, you will combine your clinical expertise in addiction psychiatry with cutting-edge technology, directly impacting the development of intelligent systems that support individuals struggling with digital addiction.
Key Responsibilities:
- Collaborate with AI development teams to enhance psychiatry models with clinically relevant knowledge of digital addiction and treatment.
- Conduct detailed psychiatric evaluations and diagnoses related to digital technology use and addictive behaviors.
- Design and review tailored treatment plans for digital addiction, ensuring updated clinical approaches inform AI logic.
- Advise on best practices for integrating psychiatric expertise into AI model training datasets. Translate complex psychiatric concepts into accessible written content for AI applications.
- Participate in regular team meetings, providing input on project direction and model refinement.
- Champion ethical considerations and patient-centric perspectives throughout AI model development.
Required Skills and Qualifications:
- MD, DO, or equivalent degree in Psychiatry or Medicine.
- Demonstrated experience in psychiatric evaluation, diagnosis, and management of addiction disorders.
- Expertise in developing and implementing treatment plans for addiction, with a focus on digital or behavioral addictions.
- Strong written and verbal communication skills, with the ability to distill complex concepts.
- Comfortable working remotely and collaborating with cross-functional, technology-driven teams.
- Ability to apply clinical insights to technical projects and offer actionable feedback to AI developers.
Preferred Qualifications:
- Hands-on experience or research in digital addiction intervention or prevention.
- Prior involvement with AI model training, digital health, or technology-based mental health solutions.
- Publications or thought leadership addressing technology use and mental health.
