Technical Writer - Remote

YO AI Labs • English • 13 days ago
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Salary
$180k – $280k per year
Location
In office (Santiago)

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 8, 2026. YO AI Labs scores A on the Alion truth index.

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YO AI Labs

YO AI Labs is an artificial intelligence platform specializing in AI model training, evaluation, and data annotation services. Headquartered in San Francisco, California, United States, the company connects domain experts and remote specialists across the globe to review, test, and benchmark generative AI model outputs. Through its decentralized workforce solutions and structured evaluation workflows, it enables frontier technology developers to enhance the accuracy, safety, and reliability of next-generation artificial intelligence systems.
yoailabs.com • HQ: San Francisco, United States • AI Evaluation & Observability • AI Training Data & Annotation • 5000+ employees
Tech stack of YO AI Labs

Technical Writing Specialist

Role Type: Contractor

Location: Remote

micro1 is seeking Technical Writing Specialists to support a customer project focused on developer and product documentation for AI training. No prior AI experience is required.

Key Responsibilities

  • Create and edit developer, API, and product documentation.
  • Simplify complex technical concepts for different audiences.
  • Organize documentation using information architecture best practices.
  • Apply docs-as-code workflows and style guidelines.
  • Review documentation for accuracy, clarity, and completeness.
  • Provide structured feedback and recommendations.

Required Skills

  • Technical Writing
  • Developer & API Documentation
  • Information Architecture
  • Docs-as-Code
  • Style Guides & Editing
  • Technical Communication
  • Complex Information Synthesis
  • Attention to Detail

Qualifications

  • 3+ years of technical writing or documentation experience.
  • Strong written English and editing skills.
  • Experience with Markdown, Git, and documentation workflows is preferred.
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