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Armada

Technical Trainer - AI Infrastructure Products

RemoteUnited States only
Published
Experience
Lead
Employment
Part-time9.2h/week
Company size
Startup
$110–$140/hr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

Part-time contract technical trainer for U.S.-based candidates with 10–15 years in technical roles and 3+ years in cloud infrastructure, GPU computing, or HPC. Must know Linux, containers, cloud CLI tooling, Python/Jupyter, at least one deep-learning framework, and GPU programming fundamentals. Requires strong English communication, curriculum development, demo/content production, a valid passport, and global travel on demand.

Core skills

KubernetesPythonGPUaaS

Required skills

LinuxDockerCloud CLI toolingPyTorch/TensorFlow/JAXCUDA/cuDNNJupyterCamtasia/Loom/DaVinci Resolve

Optional skills

MLflowWeights & BiasesKubeflowAWSGCPAzureNVIDIA DLICKA

Required languages

English Exceptional verbal and written

What you'll do

  • Design, develop, and deliver hands-on technical training for enterprise customers.
  • Guide customers through interactive sessions where they execute steps in their own environments.
  • Travel globally to customer sites, domestic and international, to conduct in-person training.
  • Deliver remote training sessions when travel is not required.
  • Tailor curriculum and pacing to hands-on technical practitioners and senior manager/director-level managers.
  • 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.
  • Own the transition from engineering-centric demos to customer-centric demos.
  • Learn Armada’s identified product flows, set up environments, record polished walkthroughs with clear voiceover, and publish customer-relatable content.
  • Create net-new demos as features change.
  • Create and maintain enablement artifacts including quick-start guides, how-to articles, sample code notebooks, architecture diagrams, and slide decks.
  • Build step-by-step lab flows customers can follow independently.
  • Use lab flows as training material and part of a shared content library.
  • Collaborate with Product and Engineering to translate new feature releases into customer-ready training content.
  • Use AI productivity tools such as 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.
  • Demonstrate GPU workload provisioning, cluster management, performance tuning, and cost optimization on Armada’s platform.
  • 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, and emerging AI/ML trends.
  • Track training effectiveness through assessments, surveys, and usage analytics.
  • Iterate content based on training effectiveness results.
  • Contribute to a knowledge base and internal trainer certification program as the team scales.

What they require

  • 10–15 years of overall professional experience in technical roles.
  • At least 3 years focused on cloud infrastructure, GPU computing, or HPC environments.
  • Proficiency with Linux, containers, and cloud CLI tooling.
  • Working knowledge of at least one deep-learning framework.
  • Working knowledge of GPU programming fundamentals.
  • 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 technical and non-technical audiences.
  • 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 guide customers through technical content step by step without frustration.
  • Experience producing instructional or demo videos with screen recording, voiceover, and light editing.
  • Proficiency with AI productivity tools such as 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.
  • Comfortable with global travel, including international customer sites.
  • Comfortable with an on-demand travel schedule.
  • Expected to travel when a training engagement is scheduled.
  • No guaranteed frequency or fixed number of trips per month.
  • Reliable home-office setup with high-speed internet for remote training delivery.
  • Preferred: Prior experience in a cloud/HPC vendor, GPU OEM, or AI infrastructure company.
  • Preferred: Familiarity with MLOps practices and distributed training paradigms.
  • Preferred: Certifications in relevant platforms.
  • Preferred: Experience with LMS platforms for publishing and tracking online courses.
  • Preferred: Background in developer relations, technical sales engineering, or solutions architecture.
  • A go-getter with a growth mindset.
  • Intellectually curious, with strong business acumen.
  • Actively seeks opportunities to build relevant skills and knowledge.
  • Detail-oriented problem-solver.
  • Can independently gather information, solve problems efficiently, and deliver results with a get-it-done attitude.
  • Thrives in a fast-paced environment.
  • Energized by an entrepreneurial spirit.
  • Capable of working quickly and excited to contribute to a growing company.
  • Collaborative team player focused on business success and team accomplishment.
  • Highly organized and results-driven.
  • Strong prioritization skills and dedicated work ethic.

Benefits

  • Truly flexible, on-demand engagement.
  • Meaningful part-time work without a full-time commitment.
  • $110–$140/hr contract rate.
  • Full travel and expense reimbursement for all customer-site visits.
  • Access to the 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.

Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty.

FinanceStartup

Details

Apply routeGreenhouse
$110–$140/hr