AI Safety Research Engineer

Job Summary

To develop and operate an evidentiary infrastructure for AI safety, the full-time remote AI Safety Argumentation Platform Research Engineer will extend ontologies, implement argumentation frameworks, and manage LLM-driven population pipelines while collaborating with various stakeholders.

Key responsibilities

• Extend ontologies and knowledge graph schemas representing claims, evidence, and argument structures
• Implement defeasible argumentation frameworks that capture logical structures and vulnerabilities to rebuttal
• Operate and quality-control LLM-driven population pipelines with human-in-the-loop curation

Required qualifications

• Working familiarity with formal or semi-formal argumentation theory
• Experience with ontology engineering or knowledge graph development
• Operational experience with LLM agent systems and prompt engineering at scale
• Substantive grounding in AI safety, AI governance, and current frontier-AI dynamics
• Good coding skills and comfort with graph databases or query languages