Remote project manager for distributed AI safety research teams, coordinating feedback, accountability, research workflows, and operations at an AI safety organization.
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598 active roles found
Remote project manager for distributed AI safety research teams, coordinating feedback, accountability, research workflows, and operations at an AI safety organization.
The role involves coordinating local PauseAI groups, engaging in advocacy campaigns, and building relationships with stakeholders to promote responsible AI.
Research fellowship focused on investigating emerging threats to AI systems using open-source intelligence and targeted investigation, with direct connection to adversarial red teaming and model evaluations.
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Technical role focused on building and refining model evaluation systems and frameworks for reasoning, alignment, and usefulness at a frontier AI lab.
Manager role in IFS Trust Office focused on AI governance, compliance, risk assessments, model assurance, audit readiness, and customer-facing trust evidence for AI systems.
The role involves creating and optimizing deep learning architectures with a focus on AI safety methods for sensor fusion in autonomous driving.
Intern role focused on creating social media and video content about AI safety and biosecurity.
Expression of interest for a role in the Pannu Lab focused on biosecurity research, including AI for biology and biosafety of AI, with both technical and policy work.
Remote facilitator role for discussion-based learning and mentorship aimed at helping participants pursue careers in AI safety and biosecurity.
The role involves deploying Valthos's platform in customer environments, focusing on understanding user needs and integrating AI systems to address biological threats.
Fellowship conducting research on AI security and technology policy at RAND CAST, a think tank focused on policy and decision-making.
Research internship/post-doc role in the COMPASS group focused on AI safety, security, and alignment, including red-teaming and interpretability.
Technical leadership role owning AI safety strategy, leading an AI safety R&D team, and driving evaluations, red-teaming, and safety policy work for frontier labs.
Research Scientist focused on AI evaluation, language model robustness, red teaming, and alignment research for an automated evaluation platform for LLMs.
The role focuses on building a platform for training and evaluating interpretable AI systems, emphasizing safety and reliability.
Research role focused on AI security, cyber capability evaluations, and mitigating misuse and dangerous agent capabilities for frontier AI systems.
Research engineer building evaluation and security testing systems for frontier AI models, including capability assessment, evasion testing, and risk mitigation.
The Technical Policy Researcher will address AI security issues, conduct threat modeling, develop taxonomies for AI capabilities, and create policy proposals.
Senior ML research role focused on developing models, experiments, and evaluation frameworks for AI safety problems, with explicit alignment and frontier-model safety relevance.
PhD research role focused on AI safety, evaluating large language models and frontier agentic systems to detect deceptive behavior and understand novel behaviors for safer AI development.