Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
357 active roles found.
The Research Scientist will focus on AI controls and monitoring, developing methods to ensure AI systems remain aligned with intended goals and conducting risk evaluations.
The Research Scientist will focus on agent robustness, AI control protocols, and AI risk evaluations to promote safe and aligned AI systems.
The Medical Fellow role at Scale AI involves collaborating on high-impact projects to design and evaluate advanced generative AI systems, focusing on safety and accuracy in model decision-making.
The Medical Fellow will design, evaluate, and interpret advanced generative AI systems in healthcare, focusing on model decision-making for safety and accuracy.
The Technical Program Manager for Safeguards will oversee the operational health of AI safety infrastructure, manage incident responses, and ensure reliability of safety-critical systems.
The Technical Program Manager for Research at Anthropic will define and build programs for research teams, focusing on AI safety, alignment, and evaluations.
The role focuses on enhancing the reliability of AI systems at Anthropic, ensuring safety commitments and robust performance across critical serving paths.
The Staff Software Engineer, Inference at Anthropic will work on building and maintaining systems for AI model inference, focusing on performance optimization and societal impacts.
The Staff Research Engineer will work on developing AI systems aimed at scientific discovery, focusing on removing bottlenecks in achieving scientific AGI and creating evaluation frameworks for model capabilities.
The role involves developing systems for safety and oversight of AI models, focusing on misuse prevention and monitoring model behaviors.
The Software Engineer, Safeguards role at Anthropic involves developing systems to monitor AI models, prevent misuse, and ensure user safety.
The Senior+ Software Engineer for Research Tools at Anthropic will develop infrastructure and applications to support AI safety research, focusing on model evaluation and understanding model behavior.
The Research Scientist, Interpretability role at Anthropic focuses on mechanistic interpretability to enhance the safety and understanding of AI systems.
The role involves conducting research on AI safety and alignment, focusing on understanding and steering the behavior of powerful AI systems.
Research Engineer/Scientist on Anthropic’s Alignment Science team, conducting experimental AI safety research on powerful future systems, safety evaluations, alignment stress-testing, and related safeguards work.
The role focuses on building reliable and interpretable AI systems, emphasizing safety and societal impacts.
The Research Engineer will enhance AI model safety and alignment through post-training techniques, impacting the quality and capabilities of production models.
The Research Engineer will focus on post-training processes to enhance AI model safety and alignment, implementing techniques to improve production model quality.
The Research Engineer will work on training and optimizing large-scale AI models, ensuring their reliability and safety, and addressing production issues.
The Research Engineer will work on training and optimizing production pretrained models, ensuring their reliability and efficiency, with a focus on the societal impacts and safety of AI systems.