AI Safety Research Engineer

New

Skills

AI Safety Argumentation Theory Defeasible Reasoning Graph Databases Knowledge Graphs LLM Agent Systems Ontology Engineering Policy Frameworks Prompt Engineering Quality Control

The AI Safety Argumentation Platform Research Engineer will develop and operate a system that enhances the understanding and communication of AI safety risks. This role, at CARMA, involves creating an evidentiary infrastructure that utilizes ontologies, knowledge graphs, and argumentation frameworks to support effective policymaking and public discourse around transformative AI risks.

Key Responsibilities
  • Extend ontologies and knowledge graph schemas representing claims and evidence.
  • Implement defeasible argumentation frameworks that capture logical structures.
  • Operate LLM-driven population pipelines with quality control measures.
  • Architect agent coordination patterns for research tasks.
  • Collaborate with communications staff to meet persuasive needs.
Required Skills & Qualifications
  • Familiarity with formal argumentation theory.
  • Experience with ontology engineering or knowledge graph development.
  • Operational experience with LLM agent systems.
  • Good coding skills and comfort with graph databases.
  • Self-directed with strong written communication skills.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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