Materials Science AI Training Specialist

Rise Data Labs; New Zealand; À distance; NZD 34 000 - 55 000; Plein temps

Avantages offerts par ce poste

Competitive hourly rates

Opportunities for professional growth

Work on cutting-edge AI projects

Résumé du poste

Rise Data Labs seeks a Materials Science AI Training Specialist to annotate and label data for AI models, applying deep domain knowledge in materials science. You will train models, validate outputs, and provide expertise to improve performance across projects.

You will collaborate with cross-functional teams and ensure data quality for machine learning efforts, contributing to cutting-edge AI initiatives and industry standards.

Qualifications

• Bachelor's or master's degree in Materials Science, Engineering, or related field.
• Strong understanding of materials properties, processing methods and applications.
• Experience in data annotation, labeling, or AI model training.
• Exceptional attention to detail and quality assurance skills.
• Proficient in using annotation tools and software.
• Excellent written and verbal communication skills.

Responsabilités

• Train and improve AI models through precise data annotation and labeling in materials science and engineering.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance and align with industry standards.
• Collaborate with cross-functional teams on diverse AI training projects.
• Ensure high-quality data for machine learning applications and drive continuous improvement.

Connaissances

Data annotation

AI model training

Attention to detail

Quality assurance

Communication

Formation

Bachelor's or Master's in Materials Science/Engineering

Outils

Annotation tools

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

Rise Data Labs is seeking a detail-oriented and knowledgeable Materials Science AI Training Specialist to join our team. In this role, you will play a crucial part in training and improving AI models through expert data annotation and labeling. Your domain expertise will be vital in enhancing the performance of our AI systems across various projects.

Key Responsibilities

• Train and improve AI models through precise data annotation and labeling in the field of materials science and engineering.
• Review and validate AI-generated content for accuracy and relevance.
• Provide domain expertise to enhance AI model performance and ensure alignment with industry standards.
• Collaborate with cross-functional teams on diverse AI training projects.
• Ensure high-quality data for machine learning applications and contribute to continuous improvement initiatives.

Required Skills And Qualifications

• Bachelor's or Master's degree in Materials Science, Engineering, or a related field.
• Strong understanding of materials properties, processing methods, and applications.
• Experience in data annotation, labeling, or AI model training.
• Exceptional attention to detail and quality assurance skills.
• Proficient in using annotation tools and software.
• Excellent communication skills, both written and verbal.

Preferred Qualifications

• Hands-on experience with AI and machine learning concepts.
• Familiarity with programming languages such as Python or MATLAB.
• Previous experience in a research or industry setting related to materials science.

What We Offer

• competitive hourly rates
• opportunities for professional growth
• the chance to work on cutting-edge AI projects that make a real impact in the industry.