Want to get hired at Get Hired with Lois?
Medical Expert
Get Hired with Lois
HybridHybrid
Original Job Summary
Overview
Join a leading AI lab’s cutting-edge GenAI team and help build foundational AI models from the ground up. As a Medical Expert, you will guide research teams by offering deep domain expertise across advanced medical specialties.
Role & Responsibilities
- Guide research teams to close knowledge gaps in your domain.
- Develop annotation standards, evaluation frameworks, and rigorous clinical rubrics.
- Design domain-specific tasks and craft gold-standard solutions.
- Evaluate AI-generated outputs to ensure clinical accuracy.
- Collaborate with interdisciplinary peers to maintain data depth.
Specialty Domains
Specializations include Infectious Disease, Endocrinology, Nephrology, Rheumatology, Pulmonary/Critical Care, Geriatrics, Neurosurgery, Cardiothoracic, Vascular, Plastic Surgery, Pediatric Subspecialties, Neurology, Psychiatry, Medical Genetics, Dermatology, Pathology, Radiology, Nuclear Medicine, Anesthesiology, PM&R, Preventive Medicine, Transplant Medicine, Palliative Care, Clinical Informatics, Oncology, and Cardiology.
Qualifications
- Based in the US.
- MD, DO or PhD with research focus in advanced medical domains.
- 5+ years post-training clinical practice in a frontier specialty.
- Leadership in sub-specialty research.
What We Offer
- Competitive pay range: $150–$500/hr.
- Long-term W2 employment (6–12 months).
- Flexible remote work at 10–40 hrs per week.
- Regular calibration calls with research teams.
- Opportunity to shape next-generation AI systems in medicine.
Key skills/competency
- Medical Expertise
- AI/ML Integration
- Research
- Annotation
- Evaluation
- Clinical Guidance
- Interdisciplinary Collaboration
- Advanced Imaging
- Robotics
- Biotech
How to Get Hired at Get Hired with Lois
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant research and clinical expertise.
- Study the company: Understand Get Hired with Lois and its AI projects.
- Tailor your cover letter: Emphasize medical AI and niche specialties.
- Prepare for technical interviews: Discuss clinical research and evaluation frameworks.
📝 Interview Preparation Advice
Technical Preparation
circle
Review clinical annotation standards.
circle
Study AI model evaluation techniques.
circle
Brush up on domain research papers.
circle
Practice technical case studies.
Behavioral Questions
circle
Describe a challenging research situation.
circle
Explain collaboration with interdisciplinary teams.
circle
Discuss leadership in clinical projects.
circle
Share conflict resolution experience.