Your insights will directly contribute to the training of AI in chemistry, physics, and engineering applications. You’ll help AI better understand structure-property relationships, materials design, and experimental methods. You will review AI-labeled content across materials science and engineering topics, assess accuracy and completeness of data and support the development of AI tools used in research and applied science.