Research Operations, External Artifacts

Anthropic

4d•Hybrid

About The Position

Anthropic is seeking a Research Operations Specialist to manage the production of system cards, which are technical documents detailing AI model capabilities, safety properties, and deployment decisions. This role involves working closely with research and safety teams, coordinating contributions from numerous researchers, managing schedules, and ensuring the timely delivery of accurate and consistent documents. The specialist will also perform editorial work, transforming research findings into clear prose and ensuring consistency across various external safety artifacts like risk reports and Responsible Scaling Policy updates. This position is part of the Research Operations team and collaborates with various research groups, requiring a blend of project management and communication skills to make complex safety research accessible to a broad audience.

Requirements

Strong project management and execution skills; able to track dozens of open threads to closure during compressed launch periods with many moving parts and many owners
Demonstrated ability to coordinate and influence without direct authority, building trust while chasing drafts and giving constructive editorial feedback
Excellent technical writing skills; able to take dense, jargon-heavy source material and produce prose that is precise, honest, and readable by a smart non-specialist
Comfort working closely with researchers; able to read an evaluation results table, ask the right clarifying questions, and push back when an explanation doesn't hold together
Working knowledge of large language models at a conceptual level, including fluency with vocabulary such as pretraining, RLHF, context windows, evals, and red-teaming
Data communication literacy; able to identify how a chart or table could be made clearer and more accurate
High integrity and a genuine sense of accountability around producing documents that hold Anthropic publicly responsible for its safety claims

Nice To Haves

Familiarity with AI safety, AI policy, alignment research, evaluation methodology, or the RSP landscape beyond baseline LLM knowledge
Background in science communication, research publishing, or technical journalism
A track record of shipping long-form technical documents: research reports, whitepapers, technical standards, regulatory filings, or science journalism
Experience with safety, risk, or compliance documentation such as regulatory submissions, safety cases, security disclosures, or clinical/scientific reporting
An eye for visual communication and experience shipping polished, on-brand documents
Light scripting or tooling ability (enough to automate a formatting check or wrangle a spreadsheet)

Responsibilities

Drive system card production end to end — own the timeline, the contributor list, the open-threads tracker, and the definition of done for each launch
Coordinate dozens of contributors across Alignment, Safeguards, Frontier Red Team, Interpretability, and capabilities; chase drafts, resolve differences of perspective, seek ground truth, and run final document beautification
Edit, and sometimes write, content; work directly with researchers to turn their results, notes, and plots into clear, scientific, non-marketing prose and maintain Anthropic's voice across sections drafted by many different people
Guard accuracy and consistency; catch terminology drift, claims that subtly contradict each other, and discrepancies between internal communications and system card drafts
Keep the system card aligned with related artifacts; track what's being said in risk reports, RSP disclosures, and other safety documentation so the system card stays consistent with them, and flag conflicts early
Improve the process between launches; build and maintain templates, style guidance, contributor guides, checklists, and reusable section scaffolds so each cycle starts from a stronger baseline
Pick up other research-adjacent operations and writing, such as internal research summaries, release notes, and documentation that helps research leadership communicate clearly