We are seeking a skilled professional to contribute to the development and training of artificial intelligence models.
the ideal candidate will have expertise in chemistry concepts, including organic, inorganic, physical, analytical, biochemistry, etc. A master's or phd degree in chemistry, chemical engineering, or a related scientific field is required.
key responsibilities:
* develop high-quality datasets, including conceptual explanations, technical documents, research abstracts, and problem-solving content.
* review and validate ai-generated content for technical accuracy, clarity, and contextual relevance in the field of chemistry.
* provide expert feedback on model outputs, identify conceptual gaps, and suggest improvements to enhance model learning.
* assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data.
* ensure all content meets scientific rigor and is aligned with industry best practices.
required skills and qualifications:
* strong theoretical and practical knowledge of chemistry concepts.
* prior experience in academic research, technical writing, or teaching is highly desirable.
* experience working with data annotation, content development, or training ai models is a plus.
* excellent written and verbal communication skills in english.
benefits:
* familiarity with ai, machine learning, and large language models (llms).
* basic knowledge of python or data handling tools (preferred but not mandatory).
others:
* understanding of data quality control processes.