Biomedical Engineering - AI Trainer
Required Skills
Biomechanics
Biomaterials
Medical Imaging
Job Description
Job Title: Biomedical Engineering - AI Trainer
Job Type: Part-time
Location: Remote
Job Summary:
Join our customer’s team as a Biomedical Engineering PhD - AI Trainer and be at the forefront of advancing artificial intelligence in healthcare and bioengineering. Leverage your expertise to create, review, and shape high-impact data used for training cutting-edge AI models. Work remotely with world-class machine learning engineers as you help define the future of biomedical AI.
Key Responsibilities:
- Develop, annotate, and review sophisticated biomedical engineering content for AI training, including diagrams, images, and academic texts.
- Serve as the subject-matter expert in physiology, bioinstrumentation, and medical device technology, guiding accurate AI model development.
- Create high-quality, educational content tailored for both academic and practical biomedical applications.
- Audit and assess AI-generated biomedical outputs, ensuring scientific rigor, accuracy, and clarity.
- Evaluate and provide feedback on contributions from other domain experts to maintain consistency and quality standards.
- Collaborate with engineers and data scientists to refine annotation tools and processes, driving continuous improvement.
- Offer expert insight to resolve ambiguities and optimize annotation guidelines for biomedical datasets.
Required Skills and Qualifications:
- Master's or PhD in Biomedical Engineering or a closely related life sciences/engineering discipline.
- Fluency in English at the CEFR C2 level or higher, with exceptional written and verbal communication skills.
- Comprehensive knowledge of U.S. academic and biomedical standards and practices.
- Demonstrated ability to communicate complex technical concepts clearly and effectively.
- Experience in academic, clinical, or data-intensive environments within biomedical engineering.
- Meticulous attention to detail and unwavering commitment to following guidelines.
- Ability to exercise sound judgment and independent problem-solving in complex or ambiguous scenarios.
Preferred Qualifications:
- Hands-on experience working with AI/ML applications in healthcare or biomedical research.
- Background in data labeling, content development for education, or prompt engineering for large language models.