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Google Writer Jobs in Seattle, WA (NOW HIRING)

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Google Writer information

See Seattle, WA salary details

$13

$27

$48

How much do google writer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for google writer in Seattle, WA is $27.64, according to ZipRecruiter salary data. Most workers in this role earn between $21.06 and $31.73 per hour, depending on experience, location, and employer.

What is a Google writer?

Google Writers are professionals who create, edit, and optimize written content for Google’s platforms and products. This can include writing articles, help documentation, product descriptions, marketing materials, or blog posts that adhere to Google’s brand and content guidelines. They often work closely with engineers, product managers, and designers to ensure clear and effective communication. In addition, Google Writers may focus on making content accessible and user-friendly for a global audience.

What are the key skills and qualifications needed to thrive as a Google writer, and why are they important?

To thrive as a Google Writer, you need excellent writing, editing, and research skills, typically supported by a background in communications, journalism, or a related field. Familiarity with content management systems like Google Docs, SEO tools, and analytics platforms is commonly required. Creativity, adaptability, and collaboration are crucial soft skills for producing engaging content and working with cross-functional teams. These abilities ensure the creation of clear, impactful content that aligns with Google's standards and effectively reaches target audiences.

How does a Google writer typically collaborate with other teams during content creation?

As a Google Writer, you’ll regularly collaborate with cross-functional teams such as product managers, UX designers, engineers, and marketing specialists. This cooperation ensures that content aligns with technical requirements, user experience goals, and broader project objectives. You may participate in brainstorming sessions, provide feedback on drafts, and adapt your writing based on input from subject matter experts. Effective communication and openness to feedback are essential, as content often undergoes multiple revisions before final publication.

What is the difference between Google Writer vs Content Writer?

AspectGoogle WriterContent Writer
CredentialsMay include familiarity with Google tools, basic writing skillsTypically requires strong writing skills, portfolio, sometimes specific industry knowledge
Work EnvironmentOften remote, collaborative with marketing teams, tech-focusedVaries from remote to in-office, diverse industries, client or company projects
Industry UsageCommon in digital marketing, SEO, tech companiesUsed across marketing, media, advertising, and various online platforms

Google Writers focus on creating content optimized for Google platforms and tools, often emphasizing SEO and digital marketing skills. Content Writers have broader roles in producing various types of content for multiple industries, with less emphasis on specific platform knowledge. Both roles require strong writing skills but differ in technical familiarity and industry focus.

How to become a Google Writer?

To become a Google Writer, candidates typically need strong writing skills, proficiency in editing and research, and familiarity with Google's content standards. Relevant experience in content creation, knowledge of SEO, and the ability to work independently are also important. A bachelor's degree in a related field is often preferred.

What are popular job titles related to Google Writer jobs in Seattle, WA?

For Google Writer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Google Writer jobs in Seattle, WA look for?

The top searched job categories for Google Writer jobs in Seattle, WA are:

Infographic showing various Google Writer job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $57,492 per year, or $27.6 per hour.

Software Engineer III, AI/ML, Google Cloud AI

Google Inc.

Kirkland, WA • On-site

$147 - $210/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

  • link Copy link
Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

  • link Copy link

info_outline X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year.

In most instances, this position requires in-person interviews as part of the hiring process.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Kirkland, WA, USA.

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience programming in Python or C++.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement solutions in one or more specialized ML areas, utilize Machine Learning (ML) infrastructure, and contribute to model optimization and data processing.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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