Life Sciences Content Developer:
We're seeking subject matter experts in biology, biomedical sciences, and chemistry to contribute to our AI model training and content development team.
In this role, you'll leverage your scientific expertise to curate, validate, and create domain-specific content that enhances AI reasoning, knowledge representation, and performance in life sciences and chemical sciences.
Key Responsibilities:
1. Develop scientifically accurate datasets in molecular biology, biochemistry, genetics pharmacology, biotechnology, toxicology, and chemical engineering
2. Produce high-quality scientific content including research abstracts, technical white papers, experimental design summaries, standard operating procedures, analytical chemistry workflows, and chemical reaction mechanisms
3. Validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards
4. Identify and correct conceptual errors, dataset biases, or incomplete knowledge representations
5. Contribute to knowledge graph development and ontology engineering for biological and chemical datasets
6. Cross-Disciplinary Collaboration: Collaborate with AI engineers, data scientists, and computational chemists to optimize model reasoning. Support the creation of adversarial testing datasets for LLMs in biomedical and chemical domains. Participate in R&D discussions to enhance AI performance in drug discovery, materials science, and biomedical research applications.