
Chemistry & Materials Science - AI Trainer
Required Skills
Materials Characterization & Synthesis
Data Interpretation & Scientific Analysis
Chemistry
Material Science
Job Description
Job Title: Chemistry & Materials Science - AI Trainer
Job Type: Part-time
Location: Remote
Job Summary:
Join our customer's team as a Chemistry & Materials Science - AI Trainer and play a pivotal role in shaping the next generation of AI-driven scientific solutions. You will leverage your technical expertise to evaluate, enhance, and create robust training data and guidelines for chemistry and materials science applications. This is a unique opportunity to impact the development of cutting-edge AI technology in a highly collaborative and intellectually stimulating environment.
Key Responsibilities:
- Assess AI-generated responses related to chemistry, materials science, experimental techniques, and scientific research.
- Develop structured training datasets, scientific prompts, experiment scenarios, and clear technical explanations.
- Detect inaccuracies or gaps in AI output and recommend precise improvements to ensure scientific validity.
- Collaborate closely with AI research teams to refine content guidelines and quality standards.
- Promote adherence to laboratory safety, ethical guidelines, and best practices in all AI training materials.
- Interpret complex experimental data and convey findings in accurate, accessible formats.
- Support continuous improvement of AI models by providing expert feedback and domain insights.
Required Skills and Qualifications:
- Master’s or PhD in Chemistry, Materials Science, Chemical Engineering, or a related field.
- Expertise in scientific data interpretation, analysis, and technical writing.
- In-depth knowledge of laboratory methodologies, safety protocols, and research ethics.
- Exceptional written and verbal communication skills, with a keen attention to clarity and detail.
- Ability to critically evaluate scientific content and translate complex concepts for diverse audiences.
- Demonstrated commitment to accuracy, scientific rigor, and continuous learning.