Job Title:
Sought After AI Training Specialist – Expertise in Biological and Chemical Sciences
Opportunity Overview:
This role focuses on developing high-quality, domain-rich datasets in various biological and chemical domains.
The ideal candidate will possess expertise in creating scientifically accurate content, including research abstracts, technical white papers, and experimental design summaries.
Additionally, they will validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards.
Key Responsibilities:
Content Creation & Knowledge Engineering:
* Develop and curate scientifically accurate datasets in: Molecular Biology, Biochemistry, Genetics Pharmacology and Biomedical Engineering Chemistry (Organic, Inorganic, Physical, Analytical, Computational) Cell and Developmental Biology, Immunology, Microbiology Biotechnology, Toxicology, and Chemical Engineering
Produce high-quality scientific content, including: Research abstracts and technical white papers Experimental design summaries Standard operating procedures (SOPs) Analytical chemistry workflows and chemical reaction mechanisms Biomedical case studies, drug development datasets, and molecular pathway analyses
AI Model Evaluation & Data Refinement:
Validate AI-generated outputs for accuracy, reproducibility, and compliance with scientific and safety standards.
Identify and correct conceptual errors, dataset biases, or incomplete knowledge representations.
Contribute to knowledge graph development and ontology engineering for biological and chemical datasets.
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.