Join Reflection AI as a Member of Technical Staff - Data Quality Engineer to own upstream data quality and automated QA methods (including LLM-as-a-Judge frameworks) for LLM post-training and evaluation.
A weekly digest of AI safety, governance, policy and responsible AI roles.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
677 active roles found
Join Reflection AI as a Member of Technical Staff - Data Quality Engineer to own upstream data quality and automated QA methods (including LLM-as-a-Judge frameworks) for LLM post-training and evaluation.
Postdoctoral Researcher, Foundations for Emergent Deception in Human-AI Interaction University of Copenhagen Copenhagen, Denmark In this role, you'll develop computational approaches for understanding emergent deception in human-AI interaction by combining NLP, behavioral psychology, and economic perspectives. Conduct controlled experiments with human participants to study deceptive behavior in AI systems. Apply interpretability-based methods to detect and understand deception in AI. Collaborate with an interdisciplinary team across Computer Science, Psychology, and Economics. Contribute to research advancing frameworks for AI safety and alig...
CSET is hiring for multiple research roles, including AI Governance Research Assistant positions focused on AI governance policy levers, law, and governance issues across U.S., Chinese, and international AI ecosystems.
Get the best AI safety, governance, policy and responsible AI roles in your inbox.
By subscribing, you agree to receive the AI Safety Careers newsletter. We use MailerLite to send emails and may track opens and clicks to improve the newsletter. You can unsubscribe at any time. See our Privacy Policy.
A three-week intensive fellowship focused on AGI governance and frontier AI governance, including policy-oriented group projects such as model legislation.
Chief Technology Officer for a nonprofit AI governance organization, leading technical strategy, governance frameworks, standards, evaluation methods, audit mechanisms, and policy engagement.
Supervisory federal policy role focused on AI policy development, governance implementation, legislative review, and AI risk management frameworks.
Communications coordinator supporting an AI governance nonprofit’s research, policy, events, and public communications.
Senior communications role focused on external messaging for OpenAI safety research, including alignment, evaluations, preparedness, and interpretability.
Senior client-facing role leading scenario advisory engagements about AI's economic impact and societal disruption for a nonprofit focused on preparing society for transformative AI.
Technical investigative role in the Consumer Protection Section focused on consumer protection, privacy, and technology enforcement, with explicit relevance to enforcing SB 53 and frontier AI safety requirements.
Founding legal counsel role at an AI governance company, centered on interpreting AI regulation (including the EU AI Act), owning AI policy/compliance, and translating obligations into product and process decisions.
The role involves pursuing a PhD with a focus on AI safety, generative AI, and agentic AI systems, addressing critical aspects of AI development and deployment.
Research engineer building AI platforms and infrastructure for alignment research, safety research, and evaluation of AI alignment/control approaches at CARMA.
The role involves leading the development and implementation of safety systems for AI deployment, focusing on technical safety strategies and evaluations to mitigate risks associated with scientific superintelligence.
The Lead Researcher will examine AI offense-defense dynamics, developing frameworks and guidance for policymakers and stakeholders to manage AI risks and enhance societal safety.
Senior economist role researching the systemic economic and geopolitical risks of transformative AI, with outputs intended for policymakers and AI risk management work.
The AI Red Teamer role involves probing frontier AI systems for vulnerabilities, designing attack strategies, and building safety evaluation infrastructure to ensure AI safety.
Expressions of interest for policy and engineering roles focused on frontier AI auditing, verification, and evaluation; relevant because it directly concerns AI governance and auditing of AI systems.
Research Scientist role studying latent structure and behavior in neural networks, with explicit emphasis on understanding as safety, safety-relevant tools, and internal red teaming.
Founding engineer role building an AI-native cyberdefense platform, including AI systems and evaluations that measure performance against real cyber incidents and frontier AI labs.