Staff Technical Writer
FAR.AI
Summary
The Staff Technical Writer owns FAR.AI's written content. They work with researchers and the red team on pre-publication findings to write the reports and research write-ups that decisionmakers at frontier labs and across the field rely on, develop content for public-facing products such as the AI Security Leaderboard, and work with our CEO and technical leaders on op-eds and position papers. They also own website copy and the quarterly newsletter, and steward an organization-wide voice and narrative with the Communications Team Lead.
Job description
The Role
The Staff Technical Writer owns FAR.AI's written content. They work with researchers and the red team on pre-publication findings to write the reports and research write-ups that decisionmakers at frontier labs and across the field rely on, develop content for public-facing products such as the AI Security Leaderboard, and work with our CEO and technical leaders on op-eds and position papers. They also own website copy and the quarterly newsletter, and steward an organization-wide voice and narrative with the Communications Team Lead.
Key Responsibilities
- Partner with researchers early in key projects to identify the core narrative and message of their work
- Edit drafts of academic papers so they convey their ideas clearly to a scholarly audience, and structure them to submission standards (including LaTeX where needed)
- Write blog post summaries of papers for a technically knowledgeable but non-expert audience, and co-write blog posts, newsletters and position papers with the technical team
- Own the write-up for every research launch: blog post, abstract rewrite and plain-language summary, working from a brief from the research pod
- Translate core research findings into clear material for non-technical audiences, such as corporate decision makers and the general public
- Work with our CEO and technical leaders on op-eds and position papers, and write content for public-facing products such as the AI Security Leaderboard
- Own written content on FAR.AI's website, including a regular audit of the evergreen pages (about, programs, team, research overview), working with the Digital Media Manager on structure and presentation
- Own the quarterly newsletter: set its editorial direction and consolidate updates from across the organization into a clear narrative for key supporters
- Lead the writing of FAR.AI's annual report or year-in-review narrative
- With the Communications Team Lead, establish and steward a consistent organizational voice, narratives around our strategic priorities, and the key messages that support them
- Write and maintain a FAR.AI house style and voice guide: terminology, how we describe risk, how we cite, and what we don't say
- Review key social media posts with the Digital Media Manager so they stay consistent with this voice and narrative
Required Qualifications
- Writers: 3+ years of professional experience in a writing role (e.g. staff writer, science communicator, editorial lead), and a portfolio of published work that turns complex technical material into clear, accurate writing
- Technical specialists: 3+ years of experience in machine learning or a closely related field (e.g. maths, stats, physics) as a researcher or engineer, and a portfolio of published writing in at least two formats (papers or technical documentation, blog posts, social media, op-eds)
- All candidates: proven ability to own projects independently from concept to completion
- All candidates: substantive experience in AI, as a researcher or engineer, or as a writer who has covered AI in depth. A general science or technology background is not enough
- All candidates: interest in AI safety and our mission, and a willingness to learn
Preferred Qualifications
- Working understanding of machine learning concepts, enough to represent research accurately and talk credibly with researchers
- Experience with academic publishing: arXiv, conference submissions, peer review, LaTeX
- A track record of writing, ghostwriting or editing op-eds
- A background in science journalism, research communications, or as a researcher who writes
Requirements
- 3+ years of professional experience in a writing role (e.g. staff writer, science communicator, editorial lead), and a portfolio of published work that turns complex technical material into clear, accurate writing
- OR 3+ years of experience in machine learning or a closely related field (e.g. maths, stats, physics) as a researcher or engineer, and a portfolio of published writing in at least two formats (papers or technical documentation, blog posts, social media, op-eds)
- Proven ability to own projects independently from concept to completion
- Substantive experience in AI, as a researcher or engineer, or as a writer who has covered AI in depth
- Interest in AI safety and our mission, and a willingness to learn
- Working understanding of machine learning concepts
- Experience with academic publishing: arXiv, conference submissions, peer review, LaTeX
- A track record of writing, ghostwriting or editing op-eds
- A background in science journalism, research communications, or as a researcher who writes
Benefits
- Visa sponsorship for in-person employees
- Remote work in most countries
- Full-time 501(c)(3) nonprofit employment
Company overview
FAR.AI is an independent nonprofit research organization founded in 2022 and based in Berkeley, California, dedicated to ensuring the safe development and deployment of advanced artificial intelligence systems. The organization focuses on frontier alignment research to make AI systems trustworthy, secure, and beneficial to society. FAR.AI operates through three main divisions: FAR.Research explores high-potential technical AI safety research directions including adversarial robustness, interpretability, and preference learning; FAR.Labs supports the San Francisco Bay Area AI safety research community through coworking spaces, events, and programs; and FAR.Futures delivers initiatives that bring together global leaders in AI academia, industry, and policy. The organization has secured over $30 million in funding from major supporters including Coefficient Giving, Schmidt Sciences, and the AI Safety Fund, enabling significant expansion of research capabilities and field-building initiatives. FAR.AI conducts rigorous technical research on AI safety challenges while building the field through workshops, fellowships, and collaborative initiatives, positioning itself as a critical institution addressing one of the most pressing technological challenges of our time.