Part-Time Oncology Physician Medical Evaluation and Content Review
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 evaluate, review, and label oncology medical content. Using case information, test results, treatment recommendations, and question-and-answer content, you will assess medical accuracy, logic, and compliance with standards. You will provide professional feedback to improve content quality, complete work according to project standards, and participate in rule calibration and quality review. You will work remotely with flexible scheduling and use Excel and shared-document tools.
Requirements
- Oncology background in medical oncology, surgical oncology, radiation oncology, or a related specialty
- Master's degree or above
- At least 3 years of oncology clinical experience
- Experience working at a public tertiary hospital
- Knowledge of common tumor diagnosis, treatment, and follow-up management
- Ability to participate in the project on a stable long-term basis
- Medical content review, internet healthcare, AI medical evaluation, or teaching experience is preferred
- Proficiency in Excel and shared-document tools
Responsibilities
- Evaluate, review, and label oncology medical content
- Assess the accuracy, logic, and compliance of case information, test results, treatment recommendations, and question-and-answer content
- Provide professional feedback to improve medical content quality
- Complete work according to project standards
- Participate in rule calibration and quality review
- Complete tasks on time
- Participate in required training and follow project standards
- Use Excel and shared-document tools