About the job
Are you a passionate expert in drug discovery looking to influence the advancement of artificial intelligence? As large-scale language models transition from sophisticated chatbots to pivotal tools for scientific innovation, your knowledge can help shape this evolution. By providing high-quality training data, you can empower AI to deliver top-notch education, stay abreast of groundbreaking research, and enhance laboratory processes for scientists globally. Your expertise is crucial in creating the next generation of AI.
We are seeking drug discovery specialists who excel in medicinal chemistry, pharmacology, high-throughput screening, target validation, ADMET profiling, lead optimization, molecular modeling, structure-based drug design, and translational research. In this role, you will engage with advanced language models on topics such as ligand–receptor interactions, pharmacokinetics, pharmacodynamics, in silico docking studies, assay development, chemical libraries, biomarker identification, and preclinical candidate evaluation, documenting challenges to strengthen model reasoning.
On a typical day, you will discuss compound screening strategies and theoretical drug design, ensure factual accuracy and logical consistency, track reproducible error traces, and propose enhancements to our prompt engineering and evaluation metrics.
A PhD in pharmaceutical sciences, chemistry, pharmacology, or a related life-science discipline is highly desirable; contributions to peer-reviewed publications, lab-based discovery research, or applied computational chemistry projects will demonstrate your compatibility with this role. Effective metacognitive communication, “showing your work”, is essential.
Are you ready to transform your drug discovery expertise into a foundational knowledge base for the AI of tomorrow? Apply now to start training the model that will educate the world.
