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.
Frontier AI researcher focused on alignment, safety evaluations, model robustness, and human oversight of AI systems.
Research engineer role building frontier evaluation environments and continuous evaluation systems for OpenAI agents, explicitly aimed at safe AGI/ASI and involving safety/alignment partners.
Research Program Manager for OpenAI’s Alignment team, coordinating alignment and safety projects, processes, and collaborations to support safe AI systems.
Product manager for OpenAI’s safety measurement work, focused on measuring harm and safeguard efficacy in production for frontier models.
Role focused on model policy for frontier cyber risk, including threat modeling, behavioral specifications, red-teaming analysis, and mitigations for harmful AI-enabled cyber activity.
Frontier AI safety/policy role focused on chemical and biological risk, model policies, and risk taxonomies for training and evaluation.
Safety Systems role focused on defining and maintaining model policies, evaluation criteria, and safeguards for frontier AI model behavior in high-risk contexts.
Full-stack engineer role on OpenAI's Safety Systems team building internal tools and platforms to improve model safety, risk measurement, safeguards, and policy workflows for production AI systems.
Data Scientist role on OpenAI Safety teams analyzing harmful behavior, misuse, and safety systems to support safer deployment of frontier AI products.
Data scientist role focused on preparedness work to build mitigation systems, evaluate detection pipelines, and monitor effectiveness to prevent extreme harms from AI systems.
Senior analyst role focused on safety operations for Grok, including child safety enforcement, harmful content mitigation, and LLM red-teaming to improve AI safety and platform robustness.
Safety operations role focused on child safety, content enforcement, and improving Grok's defenses through policy enforcement, risk assessment, and LLM red-teaming.
The role involves addressing post-training and reinforcement learning challenges, focusing on reward modeling and improving AI reasoning and truthfulness.
The SWE Fellow role focuses on designing and evaluating advanced generative AI systems, contributing to research publications, and collaborating with AI labs to enhance model performance.
The SWE Fellow role focuses on evaluating and interpreting generative AI systems, contributing to research publications, and collaborating with AI labs.
The SWE Fellow role focuses on evaluating and interpreting generative AI systems, contributing to research publications, and collaborating with AI labs.
The STEM Fellow will collaborate on high-impact projects to design and evaluate generative AI systems, contributing to research publications and enhancing AI model performance.
The STEM Fellow will collaborate on high-impact AI projects, focusing on the design and evaluation of generative AI systems, while contributing to research publications.
Research Scientist role on Scale Labs' Safety Post Training team developing post-training and interpretability methods to improve frontier AI safety, robustness, alignment, and safety evaluations, with some policy-facing collaboration.
Research Scientist role focused on frontier AI risk evaluations, including building evaluation harnesses and datasets, testing dangerous capabilities, and publishing findings for policymakers.