Develop and refine public-facing technical documentation for AI and model releases. Consolidate engineering input, verify technical accuracy, establish repeatable documentation standards, and translate complex engineering concepts for technical audiences. The role requires deep engineering and AI/ML knowledge, exceptional writing and editing skills, independent judgment, and the ability to work quickly around release timelines in a fractional, ongoing engagement.
Profile Overview
The ideal candidate combines deep engineering knowledge with strong technical writing and editing ability. This person must be comfortable working directly with engineers, understanding engineering terminology and complex AI concepts, and independently determining whether technical documentation is accurate and makes sense.
A traditional writing background alone is not sufficient. Strong candidates may be software engineers who are accomplished technical communicators or technical writers with substantial hands-on engineering experience.
Scope & CommitmentThis is a fractional, ongoing engagement with work occurring in concentrated spurts around releases rather than at a consistent weekly volume. Approximately 20 hours per month is anticipated initially, with flexibility to structure the engagement as a block of hours. There is strong interest in retaining the right person long term and integrating them into the release process.
Responsibilities- Develop and refine public-facing technical documentation supporting AI/model releases.
- Consolidate technical contributions from multiple engineers into a clear, consistent narrative and voice.
- Sanity-check documentation for technical accuracy, clarity, completeness, and audience understanding.
- Establish frameworks, standards, and repeatable processes for technical release documentation.
- Work quickly around rolling release timelines and periods of concentrated documentation needs.
- Translate highly technical engineering material into polished documentation for external technical audiences.
- Deep technical/engineering expertise is essential.
- Having been part of a frontier lab is a huge plus.
- Demonstrated experience creating public-facing technical documentation for complex engineering projects.
- Track record supporting technical releases, ideally involving open- or closed-source AI models, open-source systems, or closely related technologies.
- Strong understanding of AI/ML, software engineering, and engineering terminology.
- Exceptional technical writing, editing, synthesis, and information-organization skills.
- Ability to collaborate directly with highly technical engineering teams and work with minimal hand-holding.
- Able to move quickly, create structure from fragmented technical inputs, and maintain accuracy across contributions from multiple engineers.
- Experience producing documentation at organizations with sophisticated engineering or open-source environments is highly desirable.
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What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
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