Technical Editor Intern - Service Engineering

Job Description

This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, Full - Time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not internships.

International Students: If your work authorization is via CPT, consult your school regarding your ability to work 40 hours per week before applying. You must be able to work 40 hours per week onsite. Many students will be limited to part-time during the academic year.

About the Team

Tesla Inc. is seeking a Content Editor to join our Diagnostic Content team in Palo Alto, CA. You will be the bridge between Tesla engineering and the global service network — partnering with engineers, quality teams, and product support specialists across three regions to make the information technicians need to keep vehicles on the road clear, accurate, and accessible. The content you author and edit lives in our diagnostic knowledge base, in vehicle firmware, and in customer-facing service documentation, and supports everything from hands-on troubleshooting to regulatory disclosure obligations.  

Tesla is a fast-paced working environment that celebrates highly motivated individuals. We believe in working fast, learning from our failures, and making it better next time. Our team is full of people with deep technical understanding, excellent communication skills, and time management prowess. If you have a love of learning something new every day and can clearly communicate what you learn to audiences with various levels of technical knowledge, then you will fit right in. The work that you do will create changes in current and future production vehicles and help transition the automotive industry to a revolutionary approach to vehicle service.

Job Responsibilities

• Partner with engineering, quality, and product support teams to create and update diagnostic content for use by non-engineers — including technicians, third-party repair shops, and customers
• Edit and author across multiple content surfaces, including the diagnostic knowledge base, firmware metadata (alerts, signals, diagnostic routines, user-facing text), Theory of Operation documentation, and customer-facing alert content
• Apply SI tools and editorial automation to scale review and authoring throughput, and contribute to the team's growing library of LLM-assisted workflows
• Validate technical accuracy through structured routing and review workflows, including pull request approvals for content stored in version control
• Enforce and evolve organization-wide style standards, including the externalization standards that govern which content is shared with third parties
• Organize content for discoverability and diagnostic flow — including managing categorization, taxonomies, and the causal relationships between articles that drive guided troubleshooting
• Support content localization across multiple regions
• Manage tasks and information flow using collaboration software such as Jira, Confluence, and GitHub

Job Requirements

• Bachelor's Degree in English, Rhetoric and Composition, Technical / Professional Writing, Journalism, Communications, or relevant working experience
• 2-5 years of working experience in a related field
• Demonstrated experience using AI tools (such as ChatGPT, Claude, Copilot, or comparable LLMs) to draft, edit, or review content — and a willingness to develop, test, and refine prompt-driven editorial workflows for the team
• Ability to edit and create documentation that is accurate, complete, clear, specific, and as concise as possible
• Ability to explain technical concepts to peers, people from various parts of the organization, non-technical people, and third-party consumers
• Can extract and comprehend system operation from typical engineering documentation from both a software and mechanical perspective (e.g., schematics, subsystem specification documents, and source-controlled metadata)
• Comfortable working in a docs-as-code environment — editing Markdown or structured content in version control, opening and reviewing pull requests, and merging through approval workflows
• Excellent analytical, attention-to-detail, troubleshooting, problem-solving, communication, and teamwork skills
• Elevated level of interpersonal communication skills
• Strong capacity for both logical and creative thinking
• Must be organized, detail-oriented, and able to multi-task and evaluate priorities
• Self-directed and able to work independently with minimal supervision

• Experience with docs-as-code tooling: Git, Markdown, MkDocs, or comparable static site generators
• Familiarity with SQL or data visualization platforms (such as Superset or Tableau) for monitoring content health and prioritizing review work
• Experience with Python for editorial automation or scripting
• Familiarity with structured authoring formats (HTML, XML, DITA, JSON)
• Previous work experience with vehicle diagnostics, vehicle maintenance, or troubleshooting manuals
• Experience supporting content localization or partnering with translation teams