Part-Time Physician Consultant
Beijing-based AI company that develops large language models and AI-native products, including hosted model APIs and the Baixiaoying assistant.
Funding history
About Baichuan AI (Baichuan Intelligent Technology)
Baichuan Intelligent Technology builds general-purpose and medical large-language models, provides developer-facing API services, and operates AI-native applications.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will create structured, evidence-based answers to medical questions and assess model responses for medical accuracy, guideline relevance and timeliness, and citation quality. You will compare answers to the same question, assess images of common dermatological conditions, and explain likely diagnoses and diagnostic reasoning.
Requirements
- Clinical medicine or physician background in internal medicine or surgery
- Experience in specified specialties is preferred, including oncology, gastroenterology, endocrinology, surgery, dentistry, ophthalmology, psychiatry, infectious diseases, rheumatology, obstetrics and gynecology, dermatology
- Employment at a public tertiary Grade A hospital or above
- Intermediate professional title
- Master's degree or above
- At least 5 years of clinical experience
- Teaching or clinical supervision experience is preferred
- Availability of at least one hour per day
- Willingness to participate in long-term part-time work
- Willingness to sign a confidentiality agreement and attend necessary training
- Computer, internet, Excel, and shared-document proficiency
- Critical thinking
- Medical communication skills
Responsibilities
- Create structured, evidence-based answers to medical questions
- Evaluate model outputs for medical accuracy, guideline relevance, timeliness, and citation support
- Compare the quality of responses to identical medical questions and explain their strengths and weaknesses
- Assess images of common dermatological conditions and describe disease features, likely diagnoses, and diagnostic reasoning