Technical Trainer - AI Infrastructure Products (Part-time)
Armada · Bellevue, WA · 4 days ago
RemoteRemoteInformation Technology$110–$140/hrPart-time
About the role
We are seeking a patient, articulate, and technically fluent Part-Time Technical Trainer to join our team on an on-demand basis.
Responsibilities
- Build customer-centric demo content that replaces engineering-centric recordings with relatable, use-case-driven flows.
- Deliver hands-on, guided training sessions at customer sites around the world.
- Tailor curriculum and pacing to your audience — primarily hands-on technical practitioners and their managers (senior manager / director level).
- Conduct needs-assessments before each engagement to align training content with customer use cases and success metrics.
- Provide post-training follow-up support, Q&A sessions, and supplementary materials to reinforce learning.
- 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.
- Create and maintain a library of enablement artifacts: quick-start guides, how-to articles, sample code notebooks, architecture diagrams, and slide decks.
- Build step-by-step lab flows that customers can follow independently; the same flows should double as training material, creating a single content library that serves both purposes.
- Collaborate with Product and Engineering to translate new feature releases into clear, customer-ready training content.
- Leverage AI productivity tools (e.g., AI video editors, scripting assistants, image generation, and documentation tools) to accelerate content production.
- Deliver live technical demos at customer discovery calls, webinars, conferences, and partner events.
- Gather feedback during training engagements and relay actionable insights to Product and Customer Success teams.
- Keep curriculum current with evolving GPUaaS product features, industry frameworks (PyTorch, CUDA, Kubernetes, etc.), and emerging AI/ML trends.
- Track training effectiveness through assessments, surveys, and usage analytics; iterate content based on results.
- Contribute to a knowledge base and internal trainer certification program as the team scales.
Qualifications
- 10–15 years of overall professional experience in technical roles, with at least 3 years focused on cloud infrastructure, GPU computing, or HPC environments.
- 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; comfortable presenting to groups of all sizes.
- Patient, methodical teaching style — able to slow down, take a breath, and guide customers through technical content step by step without frustration.
- Content Production Experience producing instructional or demo videos (screen recording, voiceover, light editing) using tools such as Camtasia, Loom, DaVinci Resolve, or equivalent.
- Proficiency with AI productivity tools — e.g., AI writing assistants, automated transcription/captioning, AI image/diagram generators, and prompt-based video editors.
- Strong documentation skills; ability to produce polished slide decks, technical guides, and quick-reference cards.
- Must hold a valid passport; travel is global and may include international customer sites.
- Comfortable with an on-demand travel schedule — when a training engagement is scheduled, you are expected to travel; there is no guaranteed frequency or fixed number of trips per month.
- Reliable home-office setup with high-speed internet for remote training delivery.