Chemistry Expert
Innodata seeks a highly skilled Chemistry Specialist to guide AI models in understanding complex chemistry concepts. This role is perfect for individuals with a strong background in chemistry, who are passionate about leveraging their expertise to advance AI technology.
Main Responsibilities:
* Collaborate with AI researchers, data scientists, and engineers to develop and refine large language models focused on chemistry content.
* Create high-quality, accurate, and domain-specific 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, identifying conceptual gaps and suggesting improvements to enhance model learning.
* Assist in creating and annotating training datasets, including classification, tagging, and contextual labeling of chemistry-related data.
* Evaluate all content against scientific rigor and industry best practices.
Required Skills and Qualifications:
* Master's or Ph.D. in Chemistry, Chemical Engineering, or a related scientific field.
* Strong theoretical and practical knowledge of chemistry concepts, including organic, inorganic, physical, analytical, and biochemistry.
* 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.
* Strong analytical and problem-solving skills.
* Detail-oriented with a passion for accuracy and scientific precision.
* Familiarity with AI, machine learning, and large language models; experience using annotation tools or content management platforms; basic knowledge of Python or data handling tools preferred but not mandatory.
* Understanding of data quality control processes.