Structural Engineering AI Training Specialist

Rise Data Labs; Delhi; À distance; INR 344 000 - 689 000; Plein temps

Résumé du poste

Rise Data Labs in Delhi seeks a Structural Engineering AI Training Specialist to help train and improve AI models through precise data annotation and validation within structural engineering contexts.

You will work on projects across sectors, ensuring high-quality data and alignment with industry standards, with a flexible, remote-first approach that welcomes experts worldwide.

Qualifications

• Bachelor's degree in Structural Engineering or 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.

Responsabilités

• 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.

Connaissances

AI training

Data annotation

Attention to detail

Formation

Bachelor's degree in Structural Engineering

Outils

Data labeling tools

Python or R

Description du poste

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.