Safety Transparency Editor, Safety Systems

About the Team

Safety Systems works to ensure OpenAI’s most capable models can be developed and deployed responsibly. Our work spans evaluations, safeguards, red teaming, deployment decisions, and the systems that help OpenAI understand and reduce risk as models become more capable and widely used.

Within Safety Systems, the Trustworthy AI team is growing its safety transparency function: a practice focused on helping external audiences understand OpenAI’s technical safety work with greater clarity, rigor, and continuity. We create and improve the public artifacts that explain how our systems are evaluated for safety, what safeguards we build, what decisions we make, and where uncertainty remains.

This work includes system cards, the Deployment Safety Hub, safety-related blogs, public governance documents, and other outputs that communicate technical safety topics to external audiences. It also includes building new ways to make technical safety information easier to understand, navigate, and use—including AI-assisted workflows, data visualizations, and interactive tools that make complex technical work more legible over time.

About the Role

We are looking for a Safety Transparency Editor to own the editorial quality of key safety transparency artifacts and systems.

This is a hands-on role for someone who can write crystal-clear, pitch-perfect explanations of the hardest and highest-stakes technical safety topics that OpenAI tackles, and who can lean into AI to build systems that help the broader organization do this work better.

Your core responsibility is to shape and execute how our technical safety work is externally communicated: identifying the narrative thread, exercising judgment about which details matter, determining where additional context, explanation, or supporting evidence is needed, translating complexity without sacrificing precision, and helping external audiences understand both the safety measures we’ve taken and the uncertainties that remain. To do this work effectively, you will need to be comfortable educating yourself, using AI tools and existing internal evidence, about the nuances of technical safety work taking place across OpenAI.

You will serve as the editorial driver behind system cards and related transparency materials, partnering closely with Safety Programs, researchers, evaluators, red-teamers, policy experts, legal partners, product marketing and communications teams, and other launch stakeholders. You will transform complex technical safety topics into public-facing artifacts that are rigorous, accessible, and faithful to the underlying substance.

You’ll also be expected to use AI deeply in your own practice—not simply as a learning and drafting tool, but as a means of rethinking how this work gets done. You should instinctively look for opportunities to build workflows, automate repetitive tasks, improve consistency, and create systems that enable the organization to produce high-quality transparency artifacts at scale and speed.

This role demands deep ownership and accountability. The ideal candidate is equally at home refining a tricky explanation of a nuanced technical point, and investing in building systems that make the next ten explanations easier to produce.

This role is ideal for someone who combines the judgment of an exceptional editor with the mindset of a builder. You should be comfortable using your voice and judgment while approaching the work with humility, intellectual honesty, and a deep respect for technical nuance.

In This Role, You Will

Serve as the narrative DRI for system cards and related transparency artifacts from initiation through publication.

Partner with the Safety Programs team, researchers, evaluators, red-teamers, policy experts, legal teams, communications partners, and launch teams to translate technical findings into public-facing materials.

Write clear, precise explanations of highly technical safety topics for external audiences without sacrificing rigor or nuance.

Shape the editorial structure and narrative arc of transparency artifacts, ensuring they accurately communicate what OpenAI has done, why it matters, and where uncertainty remains.

Exercise strong editorial judgment to determine what context is necessary, what caveats should be highlighted, and where additional explanation or supporting evidence may be needed to strengthen public understanding.

Improve repeatable editorial processes, templates, and publication workflows.

Use AI tools to accelerate drafting, synthesize source materials, identify precedents, prepare reviewer packets, and improve consistency across artifacts.

Build systems and workflows that make transparency efforts faster, more scalable, and more effective over time.

Support blogs, governance documents, technical explainers, and other technical safety communications when needed.

Help evolve the Deployment Safety Hub and related transparency surfaces over time.

Example Projects