Technical Trainer - AI Infrastructure Products (part-time)

Armada Armada · Enterprise · United States · Remote · R&D - Bridge

Part-time Technical Trainer for AI Infrastructure Products, focusing on customer training, content creation, and technical demonstrations of a GPUaaS platform. The role involves designing and delivering hands-on training, creating customer-centric demo content, and leveraging AI productivity tools. It is a contract role with on-demand work, averaging about one week per month, ideal for experienced professionals seeking part-time engagement.

What you'd actually do

  1. Design, develop, and deliver hands-on technical training for enterprise customers — not slide presentations, but guided, interactive sessions where customers execute steps in their own environments with you by their side.
  2. Travel globally to customer sites (domestic and international) to conduct in-person training; deliver remote sessions when travel is not required.
  3. Own the transition from engineering-centric demos to customer-centric ones: learn Armada’s identified product flows, set up the environment, record polished walkthroughs with clear voiceover, and publish content that customers can relate to.
  4. Create and maintain a library of enablement artifacts: quick-start guides, how-to articles, sample code notebooks, architecture diagrams, and slide decks.
  5. Deliver live technical demos at customer discovery calls, webinars, conferences, and partner events.

Skills

Required

  • Proficiency with Linux, containers (Docker/Kubernetes), and cloud CLI tooling.
  • Working knowledge of at least one deep-learning framework (PyTorch, TensorFlow, JAX) and GPU programming fundamentals (CUDA, cuDNN, or similar).
  • Comfortable reading and writing Python; ability to build clear, reproducible Jupyter notebooks for instructional use.
  • Demonstrated ability to explain complex technical concepts clearly and concisely to both technical and non-technical audiences — articulateness is non-negotiable.
  • 3+ years of formal training, instructional design, or technical enablement experience; curriculum development experience required — not just delivery.
  • Exceptional verbal and written English communication skills.

Nice to have

  • 10–15 years of overall professional experience in technical roles, with at least 3 years focused on cloud infrastructure, GPU computing, or HPC environments.

What the JD emphasized

  • customer-centric
  • hands-on
  • technical training
  • content creation
  • demo production
  • GPUaaS platform
  • AI infrastructure
  • curriculum development experience required