OpenAI is seeking a Safety Transparency Editor to join the Trustworthy AI team within Safety Systems. This team focuses on ensuring OpenAI's most capable models are developed and deployed responsibly, covering areas like evaluations, safeguards, red teaming, and deployment decisions. The Trustworthy AI team is growing its safety transparency function, which aims to help external audiences understand OpenAI's technical safety work with greater clarity, rigor, and continuity. This involves creating and improving public artifacts such as system cards, the Deployment Safety Hub, safety-related blogs, and public governance documents. The role also includes developing new methods to make technical safety information more understandable and navigable, potentially using AI-assisted workflows, data visualizations, and interactive tools. The Safety Transparency Editor will be responsible for the editorial quality of key safety transparency artifacts and systems. This is a hands-on role requiring the ability to write clear explanations of complex technical safety topics and leverage AI to build systems that enhance the organization's ability to communicate this work. The core responsibility is to shape and execute the external communication of technical safety work, identifying narrative threads, determining essential details, providing context and explanation, translating complexity without sacrificing precision, and communicating both safety measures and remaining uncertainties. This requires educating oneself on OpenAI's technical safety work using AI tools and internal evidence. The editor will serve as the editorial driver for system cards and related transparency materials, collaborating with various internal teams including Safety Programs, researchers, evaluators, red-teamers, policy experts, legal partners, product marketing, communications, and launch stakeholders. The goal is to transform complex technical safety topics into public-facing artifacts that are rigorous, accessible, and faithful to the underlying substance. A key aspect of the role is the deep integration of AI into the editorial practice, not just for learning and drafting, but for rethinking how the work is done, building workflows, automating tasks, improving consistency, and enabling scalable production of transparency artifacts. This role demands deep ownership and accountability, suitable for someone who is comfortable refining explanations and building systems to streamline future work. The ideal candidate combines exceptional editorial judgment with a builder's mindset, comfortable using their voice and judgment with humility, intellectual honesty, and respect for technical nuance. The role involves supporting blogs, governance documents, technical explainers, and evolving the Deployment Safety Hub.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed