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Upload Your ResumeAbout This Role
This role is for a PhD-level Chemist to annotate, map, and review advanced chemistry data and AI-generated solutions. This position will contribute to the development of training datasets for AI models in various chemistry subfields.
Responsibilities
- Accurately label and categorize advanced chemistry questions, specialized concepts, scientific diagrams, experimental data, and other domain-specific content
- Synthesize and connect complex chemical principles, establishing nuanced relationships between specialized topics to help AI models comprehend the field's depth and structure
- Critically analyze and verify AI-generated answers to advanced chemistry questions and research-level problems, identifying errors and providing detailed, constructive feedback
- Design and curate comprehensive training datasets that encompass a wide spectrum of chemistry subfields and levels of complexity
Requirements
- PhD in chemistry (or a closely related field) with demonstrated expertise in research, teaching, or advanced problem-solving
- Experience developing or critically reviewing sophisticated scientific, technical, or educational content
- Ability to communicate advanced chemical concepts with clarity and translate abstract theory into practical application
Qualifications
- PhD in chemistry or a closely related field
Nice to Have
- Experience with data labeling, RLHF, or other AI training or model evaluation projects
About Alignerr
Alignerr partners with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
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