AI Labs Teaching Expert (Tech Track)
# AI Labs Teaching Expert (Tech Track) **TripleTen** · United States · `Remote` · `Part Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[AI-Trainer]` `[Technical-Trainer]` `[AI-Educator]` `[Technology-Facilitator]` `[Software-Engineering-Instructor]` `[AI-Engineering-Instructor]` `[AI-Development-Instructor]` `[AI-ML-Instructor]` `[Applied-AI-Engineering-Instructor]` `[AI-Instructor]` `[Technical-AI-Trainer]` `[Artificial-Intelligence-Instructor]` `[Applied-AI-Instructor]` `[AI-Pedagogy-Specialist]` `[AI-Course-Instructor]` --- ### About the Role Description Nebius Academy (powered by TripleTen ) runs AI Labs: three-hour live online sessions where engineers bring a real repository, pipeline or test suite and leave with a working AI deliverable configured against their own code and standards. We are looking for an AI Labs Teaching Expert to facilitate the Tech Track across our QA and AI-assisted programming courses. You will guide participants through real technical projects, help them make sound architecture and scoping decisions, and support them in producing a working result during the session. What you will do - Review participant project cards before each session and prepare the relevant materials. - Assess the scope of each project and help participants define what can realistically be completed during the Lab. - Work alongside participants as they design, configure and test their AI-assisted development workflows. - Read unfamiliar repositories quickly enough to identify issues and provide actionable guidance. - Help participants debug agent state, routing and behaviour under time pressure. - Guide participants in configuring AI code review, repository-level instructions and agent governance. - Help participants define appropriate automation boundaries, retry limits and human-in-the-loop controls. - Run an engaging online session, move effectively between participant projects and keep the whole group progressing. Requirements Must Have - Production experience integrating AI tooling into a real team’s repository, engineering workflow or CI pipeline. - Experience running an LLM API in a production CI environment, including cost, latency, retry and failure-mode considerations. - Hands-on experience with AI code review, repository-level configuration, agent instructions or AI governance files used by a team. - Strong software engineering background and the ability to understand backend, frontend, ETL, testing and model-related components. - Experience defining automation boundaries, human-in-the-loop gates and safe retry behaviour. - Ability to diagnose whether an agent failure comes from the prompt, routing or state design. - Experience stress-testing AI systems using intentionally incorrect inputs, pull requests or edge cases. - Daily practical use of a coding agent such as Claude Code, Cursor or Codex. - Hands-on experience with CI platforms; strong familiarity with GitHub Actions or a comparable platform. - Practical experience with Playwright. - Production experience with LangGraph and LangSmith. - Experience building or operating multi-agent systems with tracing and evaluation. - Strong live facilitation, coaching or technical knowledge-sharing skills. - Ability to facilitate the current Labs in Russian. - Availability to support the mid-October launch and the planned October–November delivery schedule. Nice to Have - Experience leading an organisation-wide rollout of AI coding tools. - Experience as a Staff or Senior Software Engineer, AI Platform Engineer, QA Automation Architect, SDET Lead, Applied AI Engineer or Forward-Deployed Engineer. - Experience with automated or self-healing test suites. - Experience teaching or facilitating engineers in a live online environment. - Experience working with unfamiliar repositories and technology stacks. - Experience with QA-oriented AI use cases. What we can offer you - A project-based, part-time collaboration with Nebius Academy. - The opportunity to work with experienced professionals on real AI-assisted engineering projects. - A practical delivery format focused on working results rather than theoretical demonstrations. - A fully remote collaboration with sessions aligned with CET. - A clear delivery scope for each Lab, including preparation and coordination with the Nebius Academy team. - An opportunity to influence how engineering teams use AI tools safely and effectively in their daily work. Originally posted on Himalayas
- AI-Trainer
- Technical-Trainer
- AI-Educator
- Technology-Facilitator
- Software-Engineering-Instructor
- AI-Engineering-Instructor
- AI-Development-Instructor
- AI-ML-Instructor
- Applied-AI-Engineering-Instructor
- AI-Instructor
- Technical-AI-Trainer
- Artificial-Intelligence-Instructor
- Applied-AI-Instructor
- AI-Pedagogy-Specialist
- AI-Course-Instructor
Наблюдалась 2026-10-02, впервые 2026-10-02, источник — Himalayas (JSON API).