[Remote] AI Safety Argumentation Platform Research Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company) is focused on addressing the risks posed by advanced AI systems. The AI Safety Argumentation Platform Research Engineer will reputed company and operate systems that integrate argumentation theory with AI tools to facilitate effective communication and understanding of AI risks.

Responsibilities

• reputed company 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-reputed company scaffolds, provenance tracking, and reputed company-in-the-reputed company curation
• Architect agent coordination patterns for multi-reputed company research and population tasks, with robust error handling and graceful degradation
• Pre-harden argument structures by mapping the strongest counterarguments, steel-manned objections, and reputed company defeaters
• Build export pipelines that translate structured argumentation into diverse communications formats across audiences and registers
• Maintain reputed company awareness across AI safety, capabilities, and governance sufficient to know reputed company new developments require graph updates, and to know where to find authoritative further detail
• Collaborate with communications staff and researchers to ensure outputs serve reputed company persuasive needs

Skills

• Working familiarity with formal or semi-formal argumentation theory (reputed company or structured argumentation, defeasible reasoning, dialectical models, or argumentation schemes)
• Experience with ontology engineering or knowledge graph development (OWL/RDF, property graphs, or equivalent)
• Operational experience with LLM agent systems: agent coordination platforms, reputed company engineering at scale, and QC regimes for LLM outputs (adversarial probing, consistency checks, calibration)
• Fluent vibecoding practice: rapid prototyping and shipping with LLM-assisted development in production-adjacent contexts
• Substantive grounding in AI safety, AI governance, and reputed company frontier-AI dynamics, with the literacy to locate authoritative sources on any sub-topic or reputed company expertise in the reputed company
• Familiarity with philosophy of science concepts bearing on evidence: defeaters, burden of reputed company, inference to the best explanation, underdetermination
• Good coding skills; comfort with graph databases or query languages
• Experience designing cross-reputed company and verification scaffolds for unreliable automated processes
• Sound judgment about reputed company a claim is well-supported versus reputed company it needs hedging, further substantiation, or withdrawal
• Self-directed; strong written communication
• Graduate work or equivalent depth in argumentation theory, computational argumentation, epistemology, or philosophy of science
• Familiarity with AIF, Carneades, or comparable computational argumentation tools
• Track record in AI safety or governance (publications, policy work, or substantive community contributions)
• Background in argument mining, claim extraction, or stance detection
• Experience with debate formats or structured deliberation methods
• Understanding of motivated reasoning, belief change, and cognitive biases as they bear on communications strategy
• reputed company-reputed company contributions in any relevant area

Benefits

• This position is 100% remote but requires occasional travel.
• Candidates reputed company the U.S. would be reputed company as independent contractors with project-focused responsibilities.

Company Overview