
51 - 200 employees
📡 Telecommunications
🤖 Artificial Intelligence
🏢 Enterprise
💰 $47.3M Series A on 2023-12
Telecommunications • Artificial Intelligence • Enterprise
Armada is a company focused on enhancing connectivity and data management in remote environments through advanced technology solutions. With products such as Connect, Edge, and OpsAI, Armada enables seamless connectivity, robust data infrastructure, and real-world AI applications to address critical challenges in industries like oil and gas, public sector, manufacturing, mining, logistics, and telecommunications. The company leverages partnerships and technology like SpaceX/Starlink to bring digital solutions to over 40 countries. Armada's mission is to bridge the digital divide by offering innovative connectivity and compute solutions tailored for the most challenging environments.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $110 - $140 / hour
⏱ Part Time
🟠 Senior
🔴 Lead
🗣️ LLM Engineer
🦅 H1B Visa Sponsor
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51 - 200 employees
📡 Telecommunications
🤖 Artificial Intelligence
🏢 Enterprise
💰 $47.3M Series A on 2023-12
Telecommunications • Artificial Intelligence • Enterprise
Armada is a company focused on enhancing connectivity and data management in remote environments through advanced technology solutions. With products such as Connect, Edge, and OpsAI, Armada enables seamless connectivity, robust data infrastructure, and real-world AI applications to address critical challenges in industries like oil and gas, public sector, manufacturing, mining, logistics, and telecommunications. The company leverages partnerships and technology like SpaceX/Starlink to bring digital solutions to over 40 countries. Armada's mission is to bridge the digital divide by offering innovative connectivity and compute solutions tailored for the most challenging environments.
• We are seeking a patient, articulate, and technically fluent Part-Time Technical Trainer to join our team on an on-demand basis. • This role sits closer to technical marketing than software development — you will need to understand and confidently use our GPUaaS platform and surrounding ecosystem, but you are not expected to develop on top of it. • Your primary focus will be two-fold: (1) building customer-centric demo content that replaces engineering-centric recordings with relatable, use-case-driven flows, and (2) delivering hands-on, guided training sessions at customer sites around the world. • Work is project-based, averaging roughly one week per month, and is ideal for an experienced professional who wants to stay engaged without a full-time commitment. • This is a non-converting contract engagement. Hours and travel are not guaranteed week-to-week; when a training trip is scheduled, you go — when it is not, there is no work. • The predictable portion of the role is demo and curriculum creation; the training delivery side fluctuates.
• 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. • 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.
• 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. • 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.
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