Curated roles
Browse roles focused on reducing risks from advanced AI systems, including alignment research, safety engineering, evaluations and related operations.
364 active roles found.
This fellowship focuses on advancing cryptographic verification mechanisms for AI training, addressing safety and verification standards in AI.
A 13-week part-time remote fellowship training and supporting Black researchers and practitioners in AI Safety, AI Security, AI Governance, and Responsible AI through mentorship and research projects.
The role involves maintaining facilities operations for a workspace focused on AI safety research, supporting logistics and vendor relationships.
The role involves managing model launches and building evaluations to measure AI model performance, directly connecting to AI safety and alignment through the development of agentic evaluations.
Research Scientist role focused on frontier AI safety research and evaluations, specifically loss-of-control and harmful manipulation risks, evaluation awareness, sandbagging, and deception.
The Research Engineer role involves implementing and running safety evaluations on frontier AI models, focusing on loss-of-control and harmful manipulation risks.
Machine Learning Engineer building AI safety and security systems, including abuse detection, frontier model evaluations, and red teaming workflows.
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 loss-of-control and harmful manipulation risks.
Research scientist role focused on empirical and conceptual research into AI well-being, moral status, and related safety/welfare questions.
Nonprofit role focused on building the technical AI safety talent pipeline through advising, courses, grants, and field strategy.
Strategic partnerships role for Scale's Red Team and Safety function, managing frontier-lab engagements focused on AI red teaming, adversarial evaluations, and safety testing of frontier models.
The role involves building systems for high-quality reinforcement learning data, focusing on AI safety research and ensuring the quality of training data.
The role involves analyzing user behavior data to provide insights on safety concerns and defining metrics to measure success in deploying safe AI systems.
The AI Red Teamer role involves evaluating the security and resilience of advanced AI systems through red team assessments, adversarial testing methodologies, and identifying vulnerabilities to ensure safe deployment.
Teacher role for an in-person bootcamp focused on technical AI safety instruction, facilitation, and curriculum development.
The role involves developing hardware architectures for verifying and securing advanced AI systems, collaborating with AI safety researchers, and translating AI security requirements into hardware implementations.
The role involves building safety systems and infrastructure for AI-driven media experiences, focusing on real-time content moderation, risk detection, and ensuring responsible deployment of generative media.
Principal full-stack engineer building an open source LLM research platform and evaluation tools for researchers to evaluate and understand model behavior.
The role involves designing and implementing safety alignment techniques for AI systems, creating datasets for safety alignment, and building infrastructure for safety evaluations.