Materials Science AI Training Specialist

Role overview Bring materials science knowledge to AI training projects by labeling data and assessing whether generated content is accurate and useful. The role combines subject-matter review, quality assurance, and collaboration with project teams to improve model performance across materials science and engineering topics.

Responsibilities - Annotate and label materials science and engineering data for model training. - Check AI-generated content for accuracy and relevance. - Apply domain expertise to help align model outputs with industry standards. - Work with cross-functional teams on AI training projects. - Maintain high data quality and contribute to improvement efforts.

Requirements - Bachelor’s or master’s degree in materials science, engineering, or a related field. - Understanding of materials properties, processing methods, and applications. - Experience in data annotation, labeling, or AI model training. - Strong attention to detail and quality assurance. - Proficiency with annotation tools and software. - Clear written and verbal communication.

Nice to have - Practical knowledge of AI and machine learning concepts. - Familiarity with Python or MATLAB. - Research or industry experience related to materials science.

Benefits and work setup The role offers competitive hourly rates, professional growth opportunities, and work on AI projects. A collaborative work environment is described.