Structural Engineering AI Training Specialist
Quick facts
- Type
- Contract
- Location
- Remote
- Background
- Master's degree
- Skills
- Engineering, Python
- Platform
- RiseDataLabs — 106 open jobs
- Apply
- Free to apply — never pay to get AI training work
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.
About RiseDataLabs
Rise Data Labs hires AI training specialists to create and review data for language models. Openings cover programming (Python, JavaScript, C#, SQL, HTML), chemistry, finance, data annotation and non-English languages such as French.