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Entry Level Google Content Reviewer Jobs (NOW HIRING)

The specialist will also review product assets, website setup and organization to ensure we have ... Knowledge of Google Analytics, Google Search Console, Google Tag Manager, SEMrush, Screaming Frog ...

The specialist will also review product assets, website setup and organization to ensure we have ... Knowledge of Google Analytics, Google Search Console, Google Tag Manager, SEMrush, Screaming Frog ...

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Entry Level Google Content Reviewer information

What are Entry Level Google Content Reviewers?

Entry Level Google Content Reviewers are professionals responsible for evaluating and moderating user-generated content across Google’s platforms to ensure it adheres to community guidelines and policies. Their main tasks include reviewing flagged content, assessing its appropriateness, and making decisions regarding its visibility or removal. These roles help maintain a safe and positive online environment by preventing the spread of harmful, inappropriate, or misleading material. Entry-level positions typically require strong attention to detail, good judgment, and familiarity with internet culture. Training is usually provided to help reviewers understand specific guidelines and processes.

What are some common challenges faced by entry-level Google Content Reviewers, and how can they be managed?

Entry-level Google Content Reviewers often encounter challenges such as handling large volumes of content, keeping up with frequently updated guidelines, and managing exposure to potentially sensitive material. Staying organized and maintaining a clear understanding of the review criteria can help manage workload efficiently. Most teams offer regular training, peer support, and wellness resources to help reviewers adapt and maintain resilience. Open communication with supervisors and utilizing available support can make the transition into this role smoother.

What are the key skills and qualifications needed to thrive as an Entry Level Google Content Reviewer, and why are they important?

To thrive as an Entry Level Google Content Reviewer, you need strong analytical skills, attention to detail, and familiarity with internet platforms, typically supported by a high school diploma or equivalent. Experience with content management systems, web browsers, and basic knowledge of Google’s tools and policies are common technical requirements. Excellent communication, critical thinking, and the ability to work independently are valuable soft skills in this role. These abilities ensure content is accurately evaluated and maintained according to Google’s guidelines, maintaining platform quality and user trust.
More about Entry Level Google Content Reviewer jobs
What cities are hiring for Entry Level Google Content Reviewer jobs? Cities with the most Entry Level Google Content Reviewer job openings:
What are the most commonly searched types of Google Content Reviewer jobs? The most popular types of Google Content Reviewer jobs are:
What states have the most Entry Level Google Content Reviewer jobs? States with the most job openings for Entry Level Google Content Reviewer jobs include:
Infographic showing various Entry Level Google Content Reviewer job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Software Engineer III, AI/ML, Google Cloud

Google

Mountain View, CA • On-site

$135K - $162K/yr

Full-time

Posted 7 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

32nd of 188 rated software companies


Job description

Minimum qualifications:
  • 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.
  • Experience developing accessible technologies.

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 AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target bonus equity benefits
Learn more about benefits at Google .
Responsibilities
  • 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 ML infrastructure, and contribute to model optimization and data processing.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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