Structural Engineering AI Training Specialist

Role overview

Use structural engineering knowledge to help train and refine AI models for engineering applications. The work combines data annotation with review of generated content, applying domain expertise and quality checks to support reliable model outputs across structural engineering sectors.

Responsibilities - Annotate and label data for AI model training and refinement. - Review generated content for accuracy and relevance to structural engineering. - Apply engineering expertise to improve model performance and align outputs with industry standards. - Contribute to training projects across different structural engineering sectors. - Maintain data quality through rigorous quality assurance.

Requirements - Bachelor’s degree in Structural Engineering or a related field. - Experience in AI training, data annotation, or a similar role. - Familiarity with machine learning concepts and data labeling tools. - Strong attention to detail and commitment to quality assurance.

Nice to have - Master’s degree in Structural Engineering or a related field. - Prior AI model training or validation experience. - Knowledge of Python or R for data processing.

Benefits and work setup - Competitive hourly pay. - Professional development opportunities in AI. - Supportive work environment and the opportunity to contribute to innovative projects.