AI Safety Argumentation Platform Research Engineer
New
C
CARMAAI Safety
AnywhereFull-TimeMiddle
Salary160,000 - 210,000 USD per year
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Job Details
- Required Skills
- Prompt Engineering
Requirements
- Working familiarity with formal or semi-formal argumentation theory (abstract 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, prompt engineering at scale, and QC regimes).
- Fluent vibecoding practice: rapid prototyping and shipping with LLM-assisted development.
- Substantive grounding in AI safety, AI governance, and current frontier-AI dynamics.
- Familiarity with philosophy of science concepts: defeaters, burden of proof, inference to the best explanation, underdetermination.
- Good coding skills with comfort in graph databases or query languages.
- Experience designing cross-check and verification scaffolds for automated processes.
- Sound judgment regarding claim substantiation and hedging.
- Self-directed with strong written communication skills.
Responsibilities
- 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 to inform graph updates.
- Collaborate with communications staff and researchers to ensure outputs serve persuasive needs.
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