Scale AI

Technical Writer

Scale AI$109K — $137K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-4 years of experience in technical writing, preferably in tech, robotics, or operations sectors.
  • Ability to rapidly learn and simplify complex technical topics for non-technical users.
  • Experience with content systems and maintaining style consistency in documentation.
  • Understanding of internationalization (i18n) principles for content adaptation across cultures.
  • Strong collaboration skills to work effectively with engineering and operational teams.
  • Detail-oriented, with strong organizational skills for managing multiple documentation projects.
  • Familiarity with content management systems and documentation tools.

Responsibilities

  • Create and maintain diverse training material for various technical audiences.
  • Serve as a resource for understanding robotics and collection systems documentation.
  • Identify and address knowledge gaps with up-to-date content.
  • Adhere to content standards ensuring usability across regions.
  • Support localization efforts, adapting materials for international teams.
  • Collaborate with cross-functional teams to validate and synthesize technical information.
  • Assist in refining onboarding and training programs.

Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits with company contribution.
  • Learning and development stipend for professional growth.
  • Generous paid time off (PTO) policy.
  • Potential for commuter stipend.
Full Job Description
As a Technical Writer on the Physical AI team, you will create and maintain the training content that keeps our global operations running. Working closely with engineers, operators, and regional leads, you'll turn complex technical knowledge into clear, structured documentation - and help build the content practices that ensure consistency as we scale. This is a high-impact role for someone who is rigorous about quality, quick to ramp on new technical domains, and excited about contributing to a content infrastructure that spans teams and regions.
Core Responsibilities
  • Create and maintain comprehensive training materials - including guides, tutorials, SOPs, troubleshooting docs, and certification content - for a range of audiences including Operators, Technicians, Ops Leads, QMs, and Engineering teams.
  • Become a go-to resource for Robotics and collections systems, developing deep enough fluency to translate technical complexity into documentation that non-technical users can act on.
  • Identify knowledge gaps across teams and proactively address them with new or updated content, keeping materials current with evolving tools and processes.
  • Work within established content standards and templates to ensure documentation is consistent, accessible, and ready for use across multiple regions.
  • Support the localization and adaptation of training materials for international teams, working within i18n frameworks to ensure regional consistency.
  • Partner with engineers, product managers, and operators to gather source material, validate accuracy, and synthesize complex information into actionable documentation.
  • Assist in the delivery and continuous improvement of onboarding and training programs.
  • Maintain a regular review cadence for existing content, flagging and resolving accuracy issues and versioning changes as tools and processes evolve.

Qualifications/Requirements
  • 2-4 years of experience in technical writing, ideally in a technology, robotics, hardware, or operations-heavy environment.
  • Proven ability to learn complex technical systems quickly and translate them into clear documentation for non-technical audiences.
  • Experience working within documentation systems, style guides, or content standards - and a strong instinct for consistency and quality.
  • Familiarity with internationalization (i18n) considerations in content creation - you understand what it means to write for translation and adaptation across regions.
  • Strong cross-functional collaboration skills; you're comfortable working with engineers, ops leads, and subject matter experts to extract and validate information.
  • Organized, detail-oriented, and able to manage multiple content workstreams simultaneously.
  • Experience with content management systems and documentation tooling.
  • Entrepreneurial mindset - you're energized by building and are comfortable navigating ambiguity.

Nice to Have
  • Experience in robotics, physical AI, or hardware operations environments.
  • Spanish language proficiency.
  • Exposure to certification or credentialing program design.


Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of San Francisco is:

$109,600-$137,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Scale AI

Scale AI is an artificial intelligence company that provides data annotation services to improve machine learning algorithms. The company's platform offers a range of services including image annotation, text annotation, and 3D annotation. Scale AI was founded in 2016 and is headquartered in San Francisco, California.
Learn more about Scale AI
Size
500 employees
Industry
Founded
2017

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