Materials Science AI Training Specialist
Quick facts
- Type
- Contract
- Location
- Remote
- Background
- Master's degree
- Skills
- Python, MATLAB
- Platform
- RiseDataLabs — 106 open jobs
- Apply
- Free to apply — never pay to get AI training work
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
At Rise Data Labs, we foster a collaborative and innovative work environment. Our team enjoys competitive hourly rates, opportunities for professional growth, and the chance to work on cutting-edge AI projects that make a real impact in the industry.
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.