Technical Writer

2 days ago

Manila, National Capital Region, Philippines Somewhere Full time ₱1,200,000 - ₱2,400,000 per year

Position: Technical Writer

Working Hours: Monday to Friday, 5:00 AM - 2:00 PM, Pacific Time

About the role: 

The client's company helps candidates practice with real interview questions. They're looking for a self-directed Technical Writer/Content Editor to maintain and improve their interview-question library— keeping questions accurate, fresh, well-tagged, and genuinely engaging to solve. You don't need to be a deep expert in every domain, but you do need enough Python/SQL fluency and product sense to know when something is correct, unclear, or outdated and to fix it quickly.

Responsibilities:

  • Own the question bank. Review, edit, and publish interview questions and solutions across Data Science, Analytics, ML/AI, and Data Engineering categories.
  • Raise quality. Rewrite unclear prompts/solutions, standardize difficulty and tags, add hints, edge cases, and testable I/O where relevant.
  • Use LLMs as a power tool. Prompt LLMs to draft outlines, generate variants, sanity-check solutions, and catch inconsistencies, then verify and polish.
  • Keep content fresh. Triage what to update or retire based on product direction, user feedback, internal pool of interview experiences, and performance metrics (answer rate, saves, time-to-completion).
  • Ship without hand-holding. Plan your own weekly pipeline; identify gaps; propose new questions/collections aligned with product strategy.
  • Tag & structure. Ensure consistent taxonomy (topic, subtopic, difficulty, company/role), metadata, and searchability.
  • Partner with Product. Align priorities with the roadmap and surface insights from learner behavior.

Requirements:

  • 2+ years of experience relevant to the role
  • Strong technical writing and synthesizing skills.
  • Strong AI skills and knowledge of context engineering, prompt engineering, and building AI agents and workflows
  • Working Python (basic → intermediate): data types, control flow, functions, simple algorithms; able to read/validate solutions.
  • Working SQL (basic → intermediate): SELECT/JOINs, GROUP BY, CASE, window functions at a minimum; can sanity-check queries and expected outputs.
  • LLM fluency: comfortable crafting prompts, using tools to draft/verify, and knowing where human review is essential.
  • Editorial judgment: can spot ambiguity, leakage, or trivia; can rewrite to be clear, fair, and interview-realistic.
  • Self-management: you plan your week, triage the backlog, communicate status, and ask for direction only when it truly changes scope.
  • Tool comfort: Markdown and basic version control (or willingness to learn); can work from a content CMS/workboard.


​​​​​​​
Nice to have
  • Experience interviewing or being interviewed for data/ML/analytics roles
  • Light pandas or NumPy familiarity for Python questions
  • Understanding of SEO basics for educational content
  • Experience with tagging taxonomies and content QA workflows

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