Назад
13 часов назад

Developer Relations Education Engineer (AI)

100 000 - 175 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Developer Relations Education Engineer (AI): Creating technical education for AI observability and evaluation through blog posts, videos, webinars, courses, conference talks, and hands-on workshops with an accent on LLM-based application development and AI-assisted content production. Focus on building reusable production pipelines, teaching complex technical concepts, and adapting source material across multiple channels.

Location: Remote, but candidates must be based in the San Francisco Bay area. Regular travel for conferences and occasional evening or weekend events is required; there is no in-office requirement.

Salary: $100,000–$175,000 annual salary, plus equity and benefits.

Company

Arize AI provides an AI and agent engineering observability and evaluation platform, including Arize AX and Arize Phoenix.

What you will do

  • Write technical blog posts and tutorials for Arize and external publications.
  • Produce educational videos, explainers, walkthroughs, and internal enablement content.
  • Run webinars end to end, from topic selection and demos through follow-up content.
  • Build and deliver courses, conference talks, and hands-on workshops with demo applications and exercises.
  • Adapt research and educational material across blogs, video, webinars, courses, social channels, and documentation.
  • Build AI-assisted production pipelines and turn community feedback into product insights.

Requirements

  • 3+ years of experience in developer relations, developer education, technical content, or an engineering role producing public material.
  • A portfolio containing recorded talks, videos, courses, blog posts, or workshops.
  • Ability to teach technical concepts live, present on stage, and work comfortably on camera.
  • Current engineering skills sufficient to build the demo applications being taught.
  • Working knowledge of LLM-based application development, including agents, RAG, or orchestration frameworks.
  • Experience using AI tools in a production process or a clear interest in building AI-assisted workflows.

Nice to have

  • Knowledge of AI evaluation and observability products or technologies.
  • Experience creating courses with platforms such as Coursera, DeepLearning.AI, LinkedIn Learning, Maven, or O'Reilly.
  • Video production, editing, or technical YouTube channel experience.
  • Experience getting talks accepted at major industry conferences.
  • Open-source project experience and active participation in technical communities.

Culture & Benefits

  • Remote-first work model with offices available in New York City and the San Francisco Bay Area.
  • WFH monthly stipend for co-working spaces outside those office locations.
  • Medical, dental, and vision coverage.
  • 401(k) plan, unlimited paid time off, and generous parental leave.
  • Mental and wellness support, industry discussions, and responsible AI initiatives.

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