Shape the future of AI by providing expertise in antibiotic resistance to train large-scale language models, democratize education, keep pace with research, and streamline lab work.
Requirements
- Specialists who live and breathe antibiotic resistance, microbial genetics, bacterial pathogenesis, horizontal gene transfer, efflux pumps, resistance mechanisms, antimicrobial stewardship, and clinical microbiology
- Expertise in antibiotic resistance
- Experience with resistance gene detection
- Experience with mechanisms of action
- Experience with multidrug resistance
- Experience with culture and sensitivity testing
- Experience with PCR and qPCR methodologies
Responsibilities
- Challenge advanced language models on topics like resistance gene detection, mechanisms of action, multidrug resistance, culture and sensitivity testing, PCR and qPCR methodologies, diagnostics, biosafety procedures, and resistance trends in public health
- Documenting every failure mode so we can harden model reasoning
- Converse with the model on lab scenarios and theoretical microbiology questions
- Verify factual accuracy and logical soundness
- Capture reproducible error traces
- Suggest improvements to our prompt engineering and evaluation metrics
Other
- PhD in microbiology, molecular biology, or a closely related life-science field is ideal
- Peer-reviewed publications
- Wet-lab or clinical experience with antimicrobial resistance
- Public health surveillance projects signal fit
- Clear, metacognitive communication—"showing your work"—is essential
