Structural Engineering AI Training Specialist
Key Skills
Job Description
About Rise Data Labs Rise Data Labs is a leading AI training and data annotation company that specializes in creating high-quality training data for artificial intelligence systems. We work with top AI companies and research institutions to improve machine learning models through expert human annotation and validation. Our team of domain specialists, subject matter experts, and quality assurance professionals work across various fields including economics, finance, psychology, computer science, business, mathematics, chemistry, physics, and engineering. We pride ourselves on our attention to detail, domain expertise, and commitment to delivering accurate, high-quality training data. At Rise Data Labs, we believe in the power of human expertise to enhance AI capabilities. We offer our team members the opportunity to work on cutting-edge AI projects while contributing their specialized knowledge to advance the field of artificial intelligence. Our flexible, remote-first approach allows experts from around the world to participate in shaping the future of AI. Job Overview As a Structural Engineering AI Training Specialist at Rise Data Labs, you will play a crucial role in training and enhancing AI models specifically tailored for the structural engineering domain. Your expertise will directly contribute to improving the accuracy and performance of AI systems through precise data annotation, validation, and domain-specific insights. Key Responsibilities Train and refine AI models through comprehensive data annotation and labeling. Review and validate AI-generated content for accuracy and relevance in structural engineering applications. Provide domain expertise to enhance AI model performance and ensure alignment with industry standards. Work on various AI training projects across different sectors of structural engineering. Ensure high-quality data for machine learning applications, maintaining rigorous quality assurance protocols. Required Skills And Qualifications Bachelor's degree in Structural Engineering or a related field. Experience in AI training, data annotation, or a similar capacity. Strong attention to detail and commitment to quality assurance. Familiarity with machine learning concepts and data labeling tools. Preferred Qualifications Master's degree in Structural Engineering or a related field. Prior experience with AI model training and validation. Knowledge of programming languages such as Python or R related to data processing. What We Offer At Rise Data Labs, we value our employees and strive to create a supportive work environment. We offer competitive hourly rates, opportunities for professional development in the AI field, and the chance to work on innovative projects that impact the future of technology.
Core Responsibilities
Annotate and label data to train and refine AI models, and review AI-generated content for accuracy and relevance in structural engineering. Apply domain expertise and quality assurance protocols to improve model performance and support projects across structural engineering sectors.
Requirements
A bachelor's degree in structural engineering or a related field is required, along with experience in AI training, data annotation, or a similar role. Candidates should have strong attention to detail and familiarity with machine learning concepts and data labeling tools; a master's degree and Python or R knowledge are preferred.
Benefits
- Competitive Hourly Rates
- Professional Development Opportunities
- Innovative Projects
About Rise Data Labs
Industry: Software Development
Company size: 2-10 employees
Rise Data Labs powers the future of AI with 500K+ US-based talent trained to deliver the highest quality data labeling, annotation, and evaluation services. We combine elite human expertise with automation to help teams train, test, and improve AI models faster and more reliably. From reinforcement learning with human feedback (RLHF) to large-scale image, video, and text annotation, our vetted workforce provides the human-in-the-loop precision that AI companies need to compete. Unlike offshore click-work, Rise Data Labs delivers context-aware, culturally nuanced annotations that align with the demands of cutting-edge generative AI. Whether you’re building frontier models, fine-tuning domain-specific LLMs, or running large-scale evals, Rise Data Labs ensures your AI is powered by clean, consistent, and trustworthy training data. We’re raising the bar for what reliable AI data should look like. Visit risedatalabs.com to learn how we can support your AI development.