Remote Structural Engineering AI Trainer

Risedatalabs; United States; Remote; USD 55,000 - 103,000; Full time

Benefits offered by this job

Competitive hourly rates

Professional development opportunities

Work on innovative AI projects

Remote-first environment

Job summary

Rise Data Labs in the United States is seeking a Structural Engineering AI Training Specialist to help train and refine AI models through precise data annotation and validation in the structural engineering domain.

You will apply domain expertise to improve model accuracy, review AI-generated content for relevance, and support diverse training projects while upholding rigorous quality assurance to deliver high-quality data for cutting-edge AI systems.

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.

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.

Skills

AI training

Data annotation

Attention to detail

ML concepts

Data labeling tools

Education

Bachelor's degree in Structural Engineering

Master's degree preferred

Job description

Rise Data Labs in the United States is seeking a Structural Engineering AI Training Specialist to help train and refine AI models through precise data annotation and validation in the structural engineering domain.

You will apply domain expertise to improve model accuracy, review AI-generated content for relevance, and support diverse training projects while upholding rigorous quality assurance to deliver high-quality data for cutting-edge AI systems.