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AI Safety Research Engineer

New

Skills

AI safety Defeasible reasoning Formal argumentation theory Graph databases Knowledge graph development LLM agent systems Ontology engineering Philosophy of science Prompt engineering Quality control processes

As an AI Safety Argumentation Platform Research Engineer at CARMA, you will play a pivotal role in developing a robust evidentiary infrastructure aimed at addressing the risks associated with AGI and ASI. Your work will bridge argumentation theory and advanced AI tooling, contributing to the creation of persuasive, structured argumentation that informs policymakers and the public on the potential risks of transformative AI.

Key Responsibilities
  • Extend ontologies and knowledge graph schemas representing claims, evidence, and argument structures.
  • Implement defeasible argumentation frameworks to capture logical structures and rebuttals.
  • Operate and maintain LLM-driven population pipelines with quality control measures.
  • Collaborate with communications staff to ensure outputs meet persuasive needs.
  • Stay updated on AI safety and governance developments to inform ongoing work.
Required Skills & Qualifications
  • Familiarity with formal argumentation theory and ontology engineering.
  • Operational experience with LLM agent systems and prompt engineering.
  • Strong coding skills and comfort with graph databases.
  • Substantive grounding in AI safety and governance.
  • Self-directed with excellent written communication skills.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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