Research Engineer / Research Scientist role focused on empirical AI safety research for frontier AI systems, including experiments on LLMs, training/evaluation tooling, datasets, and benchmarks.
$140K - $200K / year
666 active roles found
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666 active roles found
Research Engineer / Research Scientist role focused on empirical AI safety research for frontier AI systems, including experiments on LLMs, training/evaluation tooling, datasets, and benchmarks.
Research engineer internship focused on AI safety-relevant empirical research on LLMs, including AI security, machine ethics, AI alignment, and benchmarking AI risks.
Senior operator role owning high-stakes AI safety projects end-to-end, including initiatives like benchmarks for deception and weaponization risk, campaign work on AGI risk, and coordination across researchers and partners.
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Voluntary board member role providing governance, oversight, and strategic guidance for ERA’s frontier AI risk mitigation work, with explicit emphasis on AI safety and AI governance experience.
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Research fellowship conducting independent AI governance research to inform high-stakes policy and strategic decisions, including risk management, threat modeling, technical governance, and frontier AI regulation.
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ML Research Engineer focused on training, post-training, and evaluating LLMs, including alignment methods and safety/moderation-related datasets and policy systems.
AI Red Team Engineer focused on adversarial testing of LLM-powered systems, including jailbreaks, prompt injection, data leakage, policy bypass, and turning findings into regression tests and reports.
Research role building adversarial agent environments, evaluations, and tooling to study AI system failures, misalignment, and unsafe behaviors.
Research engineer role building an AI safety argumentation platform using ontologies, knowledge graphs, defeasible argumentation, and LLM-assisted pipelines to support AI risk management and governance communications.
Contract role focused on monitoring and enforcing abuse on AI products, including building detection, review, and enforcement systems for high-risk harms.
Engineering fellowship supporting AI abuse detection, red teaming, and related research/engineering work across software, data, and ML concentrations.
Mid-level AI red teaming role focused on adversarial testing, jailbreak discovery, failure analysis, and vulnerability reporting for LLMs and image/video models.
Junior public affairs role focused on AI public policy strategy, regulatory monitoring, and advocacy, with explicit relevance to AI governance and the EU AI Act.
Legal counsel role focused on AI compliance, regulatory monitoring, and cross-functional support for the development and deployment of AI technologies.