Senior Technical Writer / Documentation Lead

Прямой работодатель  Cvat ( cvat.ai )
Сеньор
Информационные технологии • Computer Vision
8 сентября
Удаленная работа
Опыт работы более 5 лет
Работодатель  Cvat
Описание вакансии

Employment type: Full-time employment

Location: Remote Worldwide or Cyprus

CVAT (Computer Vision Annotation Tool) is the leading open-source data annotation platform for computer vision applications, trusted by over 250,000 teams and researchers worldwide. To support our growing community and enterprise customers, we’re hiring a Senior Technical Writer to own and scale our documentation strategy across CVAT Community, Enterprise, Online, and Labeling Services.

What you will be doing

  • Maintain and evolve user and developer guides, SDK/API references, and release notes; keep docs.cvat.ai structured and searchable.
  • Maintain API documentation (OpenAPI/Swagger/Redoc), CLI guides (flags, exit codes, real examples), and SDK references (Python) with runnable snippets (cURL, Postman, Bash, Python).
  • Review API/SDK/CLI usability with engineering and suggest improvements while documenting.
  • Instrument docs (Google Analytics or similar) to find gaps and prioritize fixes; track search success and task completion.
  • Leverage AI to accelerate development of documentation, code-snippet generation, and stale-content alerts.
  • Engage the open-source community: triage doc issues, incorporate feedback, and publish tutorials that improve time-to-value.
  • Integrate and support an AI chatbot as a docs interface for common questions.

What we expect from you

  • Strong portfolio of SDK/CLI/API documentation for developer products.
  • Hands-on with OpenAPI/Swagger, Redoc/Stoplight/Swagger UI; Postman/cURL; auth flows, pagination, and webhooks.
  • Comfortable reading and writing code (Python, JavaScript/TypeScript, Bash) to produce runnable examples.
  • Docs-as-code: Markdown/MDX or reStructuredText, Git/GitHub PR reviews, CI (link checks, doctests).
  • Experience using documentation tools such as Hugo, Sphinx or Read the Docs.
  • Initiative using AI tools to improve quality and speed across the doc lifecycle.
  • Degree in IT or equivalent experience.
  • Proficiency in English.

It would be nice if you have

  • Background in computer vision/ML.
  • Proficiency in Python programming.
  • Familiarity with Kanban/modern SDLC.
  • Experience integrating AI chatbots into docs or websites.

Why join our team?

  • Work on a widely adopted open-source project with an active community.‍
  • Real ownership, career growth, and modern tooling, plus freedom to automate with AI.
  • Remote-first flexibility, supportive time-off and benefits, including medical insurance.
  • Be part of an enthusiastic team dedicated to open source and innovation in computer vision.

How to apply

Send us your resume, a brief cover letter, and 2–3 links to API/CLI/SDK documentation you have authored, highlighting your role. If available, include a short note on how you used AI to improve documentation.


Специализация
Информационные технологии
Отрасль и сфера применения
Computer Vision
Уровень должности
Сеньор
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