Overview
We are excited to invite experienced clinicians to join us in shaping the future of healthcare through next-generation AI systems! In this unique project role, you'll have the opportunity to review structured clinical data, create care plans from the ground up, and evaluate AI-generated outputs for their accuracy, safety, and clinical reasoning.
This isn’t your typical clinical position. There is no direct patient care, no EMR documentation, and you won’t be liable for patient outcomes. Instead, you will leverage your clinical expertise to train and evaluate AI systems used in healthcare settings.
Specialties Required (Applicants outside these will not be considered)
- Primary Care (Internal Medicine / Family Medicine)
- Cardiology
- Endocrinology
What You’ll Do
1. Clinical Data Review
- Review structured and unstructured EHR-style data (de-identified or synthetic)
- Identify key clinical signals, comorbidities, and risk factors
- Interpret data in a way that informs clinical decision-making
2. Care Plan Development
- Create comprehensive care plans from scratch based on provided scenarios
- Include appropriate diagnostics, treatment pathways, monitoring, and follow-up
- Apply specialty-specific best practices and clinical guidelines
3. AI Output Evaluation
- Review AI-generated care plans, summaries, or recommendations
- Assess for:
- Clinical accuracy
- Completeness
- Safety risks
- Logical consistency
- Provide clear, structured feedback and corrections
4. Annotation & Clinical Reasoning
- Document step-by-step clinical reasoning behind decisions
- Explain why a care plan is correct, incomplete, or unsafe
- Identify gaps, omissions, and flawed assumptions in AI outputs
5. Rubric & Framework Development
- Contribute to the creation of evaluation rubrics and scoring frameworks
- Help define what “good” clinical reasoning and care planning looks like
- Collaborate on standardizing quality benchmarks for AI evaluation
What This Role Is NOT
- ❌ No patient interaction
- ❌ No prescribing or treatment decisions for real individuals
- ❌ No billing or charting
- ❌ No malpractice exposure tied to patient care
Requirements
- Active clinical license (MD, or equivalent)
- Minimum 3–5 years of clinical experience (post-training preferred)
- Strong clinical reasoning and documentation skills
- Ability to clearly articulate decision-making processes
- Comfortable working with structured frameworks and written analysis
- Experience in one of the following:
- Primary Care
- Cardiology
- Endocrinology
Nice to Have
- Experience with utilization review, chart audits, or clinical QA
- Familiarity with clinical guidelines (e.g., ADA, ACC/AHA, USPSTF)
- Prior exposure to AI, data annotation, or digital health tools
Why This Role Matters
You will play a vital role in training and enhancing AI systems that will be utilized across the healthcare landscape. Your clinical judgment will help ensure these systems are safe, accurate, and aligned with real-world medical practice.