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AI-DRIVEN TECHNICAL WRITING INTERN @ GAO TEK INC.

USA, Remote Posted 3/20/2026 Gaotek.com 2068 Views
GAO Tek Inc. is looking for a motivated AI-driven Technical Writing Intern to participate in a 3 to 6-month virtual internship. The primary role involves crafting and refining technical documentation like manuals and reports, making them accessible to both technical and non-technical readers. The position leverages cutting-edge AI tools, such as NLP models and content-generation platforms, to enhance research and automate workflows. Candidates will work alongside a global network of engineers and developers, ensuring that all technical materials are accurate and up-to-date.

In addition to core technical writing tasks, the intern will engage in cross-departmental projects spanning HR, marketing, and business development. This includes creating onboarding resources, marketing campaigns, and fundraising materials like pitch decks. This role provides significant exposure to international tech initiatives and offers the chance to earn professional certificates upon completion. It is an ideal opportunity for those interested in the intersection of technology and communication within a dynamic, remote-first environment.

Key Requirements

Pursuing or recently completed a degree in Engineering, IT, Computer Science, Technical Writing, or a related field. Strong writing, editing, and communication skills in technical content creation. Interest in technology trends and digital innovation. Proficient in Microsoft Office and modern collaboration tools (e.g., ChatGPT, Notion AI, Grammarly GO, Chat Bot). Self-motivated, proactive, and comfortable working in a remote environment. Fluency in Chinese (Mandarin or Cantonese) is preferred but not mandatory. Ability to translate complex technical concepts into accessible content for diverse audiences. Capacity to collaborate effectively with cross-functional global teams including developers and engineers. Strong organizational skills to manage documentation deadlines within a fast-paced environment. Proficiency in utilizing NLP models and machine learning enhanced editors for content automation.

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