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Safety Transparency Editor, Safety Systems

Label Your Data·Salary not specified

Primary stack

AI

Job description

About the Position

Safety Transparency Editor, Safety Systems

San Francisco


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.


Responsibilities

  • 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.

Requirements

  • Technical Writing: Exceptional writing and editing skills to make highly technical topics understandable without sacrificing precision.
  • Editorial Judgment: Strong editorial judgment and the ability to identify the narrative thread in complex, ambiguous material.
  • AI Tools: Deeply AI-native in how you work, and instinctively look for opportunities to automate, systematize, and improve editorial processes.
  • Technical Safety: Enjoy learning unfamiliar technical domains quickly and developing fluency in frontier AI safety concepts.

Nice to Have

  • Synthesizing: Ability to synthesize diverse inputs into structured, publication-ready artifacts.
  • Partnership Building: Ability to earn trust and work in close partnership with technical experts to make their work accessible without oversimplifying it.
  • Systems Building: Strong execution instincts and the ability to own complex projects from start to finish.
  • Intellectual Honesty: Care deeply about rigor, intellectual honesty, and earning trust through accuracy.

We Offer

  • Join a team dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.
  • Work in an environment that values diverse perspectives, voices, and experiences.
  • Competitive compensation and benefits.

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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