Technical Trainer - AI Infrastructure Products (Part-time)
Core
Part-time Technical Trainer creating customer-centric demo content and delivering hands-on guided training sessions for enterprise customers on GPUaaS and AI infrastructure platforms.
Role type
Part-time Technical Trainer (Customer Enablement & Content Production)
Builds
Customer-facing demo flows, training curricula, quick-start guides, and lab environments for GPUaaS and AI infrastructure.
Domain
AI Infrastructure, GPU Computing, Cloud Platforms
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Linux administration, container orchestration (Docker/Kubernetes), deep-learning frameworks (PyTorch/TensorFlow/JAX), CUDA programming, Python scripting, instructional design, video production/editing, technical communication
Preferred skills
MLOps practices (MLflow/Kubeflow), LMS platform management, developer relations experience, cloud vendor background
Technologies
GPUaaS, PyTorch, TensorFlow, JAX, CUDA, Docker, Kubernetes, Camtasia, Loom, DaVinci Resolve, AI productivity tools
Responsibilities
Design and deliver interactive hands-on training sessions for technical practitioners; create customer-centric demo videos and walkthroughs; develop training curricula, guides, and lab flows; conduct needs assessments and post-training support; deliver live technical demos at events; iterate content based on feedback and product updates.
Seniority
Senior, hands-on IC
