Armada - Technical Trainer - AI Infrastructure Products (Part-time)
Requirements
• Technical Expertise • Technical Expertise • 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. • Training & Communication • 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 • 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. • Logistics • 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. • Prior experience in a cloud/HPC vendor, GPU OEM, or AI infrastructure company. • Familiarity with MLOps practices (MLflow, W&B, Kubeflow) and distributed training paradigms. • Certifications in relevant platforms: AWS, GCP, Azure, NVIDIA DLI, Kubernetes (CKA/CKAD), or similar. • Experience with LMS platforms (Docebo, Teachable, Moodle) for publishing and tracking online courses. • Background in developer relations, technical sales engineering, or solutions architecture.
Responsibilities
• Customer Training & Enablement • 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. • Travel globally to customer sites (domestic and international) to conduct in-person training; deliver remote sessions when travel is not required. • Tailor curriculum and pacing to your audience — primarily hands-on technical practitioners and their managers (senior manager / director level); this is not a C-suite audience. • 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. • Content Creation & Demo Production • 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. Assume net-new creation — demos go stale approximately every three months as new features ship. • 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. • Technical Demonstrations & Evangelism • Deliver live technical demos at customer discovery calls, webinars, conferences, and partner events. • Act as a credible technical voice, demonstrating GPU workload provisioning, cluster management, performance tuning, and cost optimization on our platform. • Gather feedback during training engagements and relay actionable insights to Product and Customer Success teams. • Continuous Improvement • 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.
Benefits
• Truly flexible, on-demand engagement — ideal for an experienced professional seeking meaningful part-time work without a full-time commitment. Hours are not guaranteed week-to-week; this role will not convert to full-time. • $110–$140/hr contract rate. • Full travel and expense reimbursement for all customer-site visits. • Access to our full GPUaaS platform for self-directed learning, demo prep, and content creation. • Collaborative team culture with direct access to Product and Engineering leadership. • Opportunity to grow with a fast-moving company at the forefront of AI infrastructure. • For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications. • You're a Great Fit if You're • A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge • A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude • Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company • A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda • Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you • Equal Opportunity Statement
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