AI Safety Argumentation Platform Research Engineer

CARMA is building an evidentiary infrastructure for AI risk argumentation. This role involves developing ontologies, knowledge graphs, and LLM-powered pipelines to formalize and communicate arguments about AI safety. The position is 100% remote with occasional travel.

• Extend ontologies and knowledge graph schemas representing claims, evidence, argument structures, defeaters, and confidence
• Implement defeasible argumentation frameworks (e.g., ASPIC+, Dung-style, argumentation schemes) that capture both logical structure and vulnerability to rebuttal
• Operate and quality-control LLM-driven population pipelines, with cross-check scaffolds, provenance tracking, and human-in-the-loop curation
• Architect agent coordination patterns for multi-step research and population tasks, with robust error handling and graceful degradation
• Pre-harden argument structures by mapping the strongest counterarguments, steel-manned objections, and known defeaters
• Build export pipelines that translate structured argumentation into diverse communications formats across audiences and registers
• Maintain current awareness across AI safety, capabilities, and governance sufficient to know when new developments require graph updates, and to know where to find authoritative further detail
• Collaborate with communications staff and researchers to ensure outputs serve real persuasive needs