Nuclear Engineering AI Training Specialist

Role overview Use nuclear engineering expertise to strengthen AI systems through structured data annotation and careful review. The role involves checking the accuracy and relevance of generated content, contributing domain knowledge to model improvements, and supporting consistent data quality across training projects.

Responsibilities - Annotate and label data used to train and improve AI models. - Review AI-generated material for accuracy and relevance. - Apply nuclear engineering knowledge to identify issues and inform model improvements. - Contribute to projects across different fields while maintaining reliable training data. - Follow careful quality practices when reviewing and validating data.

Requirements - A bachelor’s degree in nuclear engineering or a related field. - Understanding of AI concepts and machine learning principles. - Experience with data annotation, labeling, and validation. - Strong attention to detail and problem-solving ability. - Ability to work independently and collaborate with a team.

Nice to have - A master’s degree in nuclear engineering or a related discipline. - Experience with AI training tools and platforms. - Familiarity with data quality assurance processes. - Knowledge of programming languages such as Python or R.

Benefits and work setup The role description cites competitive hourly rates, professional development opportunities, and participation in AI projects. Specific compensation and work arrangement details are not provided.