The role involves ensuring safety and compliance on OpenAI platforms, collaborating with internal teams to minimize abuse, and performing risk evaluations related to user safety.
Added todayDublin, IrelandAI Compliance & Risk Management
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The role involves ensuring safety and compliance on OpenAI platforms, collaborating with internal teams to minimize abuse, and performing risk evaluations related to user safety.
The role involves driving US AI policy initiatives, evaluating grant proposals, and contributing to strategic grantmaking efforts focused on societal impacts of AI.
The Research Scientist role involves leading research on risks in frontier AI models, designing evaluation methodologies, and authoring safety reports to advance AI safety.
The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on risks associated with loss-of-control and harmful manipulation.
The Research Scientist role involves conducting research on the well-being and moral status of AI systems, focusing on empirical studies related to AI safety and alignment.
The role focuses on identifying and accelerating technical talent in AI safety, advising on safety strategy, and running courses related to AI safety.
The Data Operations Manager will build and scale data operations for research teams focused on frontier AI capabilities, ensuring high-quality data for model performance and safety alignment.
The Strategic Operations Lead will drive strategic operational builds focused on user safety and risk management, translating operational signals into effective interventions and improvements to systems.
The Product Policy Biosecurity Policy Manager will guide OpenAI in evaluating and governing AI capabilities relevant to biology and life sciences, focusing on preventing misuse while enabling beneficial research.
The role involves leading a team to build analytics and automation systems that enhance user safety and risk operations, focusing on compliance and risk management in AI systems.
The Strategic Projects Lead for the Red Team will manage partnerships with frontier AI labs, focusing on stress-testing AI models, generating adversarial data, and running evaluations to ensure safety and robustness.
The role involves building systems for high-quality reinforcement learning data, focusing on AI safety research and ensuring the quality of training data.
The Data Scientist, Policy role involves analyzing data to support policy positions and communications, ensuring that Anthropic's contributions are effectively communicated to policymakers.
The role involves analyzing user behavior data to provide insights on safety concerns and defining metrics to measure success in deploying safe AI systems.
This course focuses on AI security research, teaching participants about attacks on AI systems and defenses, including adversarial examples and model tampering.
The role involves developing and implementing data governance and responsible AI practices, including monitoring AI governance frameworks and conducting evaluations for bias and dual-use risks.
The role involves designing and executing red team assessments against AI systems to evaluate their security and resilience, focusing on adversarial testing methodologies and identifying vulnerabilities.
Lead the NRC's AI Safety Lab focused on evaluating advanced AI systems, managing a team of specialists, and developing safety evaluation protocols.
The AI Governance Advisor role involves building and delivering AI governance training, supporting customers in defining their AI governance roadmap, and managing customer engagements to ensure responsible AI practices.
The role involves advising on national security policy related to AI safety and governance, engaging with policymakers, and developing strategies for responsible AI adoption.
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