Clinical AI Specialist
Job at a glance
Job description
Fully Remote | Flexible Schedule | Part-Time / Contract Opportunity
Position Overview
We are seeking experienced healthcare professionals to support an innovative artificial intelligence (AI) initiative by evaluating the accuracy, quality, and clinical appropriateness of AI-generated content. In this role, you will leverage your hands-on clinical expertise to test AI models, assess their responses to complex healthcare scenarios, and develop evaluation criteria that help improve the quality and reliability of healthcare-focused AI technology.
The ideal candidate is an actively licensed or recently practicing healthcare professional with strong clinical judgment, exceptional attention to detail, and the ability to work independently. Candidates should have direct, hands-on experience delivering care or performing clinical functions rather than exclusively working in a management capacity.
This is an opportunity to apply your clinical knowledge in an entirely new way while contributing to the development of next-generation AI technology.Important: This position involves zero direct patient care, shift work, or on-call responsibilities.
Job Responsibilities
- Rubric Development: Create detailed grading criteria and evaluation rubrics to measure AI model performance against established healthcare standards and clinical expectations.
- Clinical Domain Validation: Assess AI-generated responses for appropriate use of clinical terminology, documentation standards, regulatory requirements, and healthcare workflow logic.
- Clinical Accuracy & Safety: Identify inaccuracies, inconsistencies, and potentially unsafe recommendations by applying real-world clinical knowledge and professional judgment.
- Workflow Assessment: Evaluate AI responses across multiple healthcare settings, recognizing both appropriate and inappropriate clinical processes and decisions.
- Independent Execution: Complete assignments independently using provided AI tools, project guidelines, and available support resources.
Qualifications
- Direct, hands-on clinical experience in an individual contributor capacity. Candidates whose experience is exclusively managerial or administrative will not be the primary target.
- Strong understanding of clinical documentation, healthcare workflows, terminology, and evidence-based practices.
- Ability to evaluate complex clinical scenarios and make sound decisions based on current clinical guidelines and patient context.
- Exceptional attention to detail, analytical thinking, and the ability to identify subtle inaccuracies.
- Strong work ethic, self-motivation, and the ability to work independently without hands-on supervision.
- Ability to dedicate a minimum of 5–10 hours per week, with additional availability preferred.
- Bachelor's degree, master's degree, or PhD strongly preferred, or equivalent advanced practical domain experience.
- Reliable personal computer or laptop and high-speed internet access.
Preferred Clinical Backgrounds:
- Candidates with substantial experience in one or more of the following clinical specialties or healthcare settings are encouraged to apply:
- Acute Care / Medical-Surgical
- Emergency Medicine
- Critical Care / Intensive Care
- Primary Care / Family Medicine
- Pediatrics
- Obstetrics
- Behavioral Health
- Geriatrics / Long-Term Care
- Perioperative / Surgical Services
- Oncology
- Pharmacy
- Candidates should also have a working understanding of adjacent healthcare settings and their associated workflows, allowing them to recognize appropriate and inappropriate clinical practices beyond their primary specialty.
- The ability to independently interpret and produce clinical documentation, apply current guidelines, and account for patient-specific context is particularly important.
Candidates may be asked to provide verification of professional licensure.
Working Hours
- 100% remote opportunity.
- Flexible schedule with the ability to work any day or time.
- Minimum commitment of 5–10 hours per week, with additional availability preferred.
- No required shifts, weekends, or on-call responsibilities.
- No direct patient care.
- Work independently using provided AI platforms, project instructions, and resources.