Remote Materials Science AI Training Specialist

Rise Data Labs; New Zealand; Remote; NZD 34,000 - 55,000; Full time

Benefits offered by this job

Competitive hourly rates

Opportunities for professional growth

Work on cutting-edge AI projects

Job summary

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.

Responsibilities

• 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.

Skills

Data annotation

AI model training

Attention to detail

Quality assurance

Communication

Education

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

Tools

Annotation tools

Job description

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.