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.
The role involves leading the SPAR program, the largest AI safety research fellowship, focusing on strategic expansions, managing research managers, and cultivating relationships with AI safety researchers.
Research manager for SPAR, an AI safety research fellowship, supporting mentors and mentees, program operations, and events for an AI safety fieldbuilding organization.
In this role, you'll build out a talent database for AI safety organizations to coordinate on talent, contributing to mitigating risks from advanced AI.
The role involves building front-end interfaces for an open source LLM evaluation platform, which is relevant to AI safety as it aids in the evaluation of AI models.
Research program manager role focused on building model evals and safety infrastructure, establishing safety operations, and integrating safety checkpoints into frontier model development.
This role focuses on studying data types essential for building state-of-the-art AI agents, contributing to research on agent performance and model evaluations.
Remote project manager for distributed AI safety research teams, coordinating feedback, accountability, research workflows, and operations at an AI safety organization.
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.
Technical role focused on building and refining model evaluation systems and frameworks for reasoning, alignment, and usefulness at a frontier AI lab.
Expression of interest for AISI's Red Team, which researches and stress tests frontier AI systems through red teaming, alignment, misuse, and control evaluations.
The Staff Software Engineer, Data Platform role focuses on designing and developing data platforms that support AI safety and alignment through human evaluation and reinforcement learning.
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.
Remote facilitator role for discussion-based learning and mentorship aimed at helping participants pursue careers in AI safety and biosecurity.
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.
Software engineering internship building a reliability platform for LLM applications, with explicit work on evaluation models, dynamic testing, red-teaming, observability, and robustification.
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.