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Ads Quality Rater Google Jobs (NOW HIRING)

Slapend Rijk B.V.

Google Ads manager.

... quality and attribution. This requires someone who is always thinking about what the numbers are ... We work with a lower base hourly rate (based on skills necessary for this job) combined with a ...

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Maps Quality Rater - English Fluency

Elgin, IL · Remote

$20.30/hr

Maps Quality Rater - English Fluency What if your everyday search experience could help improve the ... An active Gmail user with prior Google Maps usage history PROJECT DETAILS * Location: Remote ...

Welo Data

Maps Quality Rater - English Fluency

Boise, ID · Remote

$20.30/hr

Maps Quality Rater - English Fluency What if your everyday search experience could help improve the ... An active Gmail user with prior Google Maps usage history PROJECT DETAILS * Location: Remote ...

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How much do ads quality rater google jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for ads quality rater google in the United States is $19.93, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $21.88 per hour, depending on experience, location, and employer.

What is an ads quality rater Google?

An Ads Quality Rater for Google is a part-time, work-from-home role where individuals evaluate the relevance and quality of online ads. Raters follow specific guidelines to assess how well ads match search queries and provide feedback to improve Google's ad-serving algorithms. This helps Google enhance user experience by ensuring ads are relevant and useful. The job typically requires fluency in a specific language, familiarity with cultural contexts, and strong analytical skills.

What are the key skills and qualifications needed to thrive as an ads quality rater at Google?

To thrive as an Ads Quality Rater for Google, you need strong analytical skills, attention to detail, and fluency in both English and the local language, typically supported by at least a high school diploma or equivalent. Familiarity with web browsers, online research, and proprietary rating platforms is essential, although formal technical certifications are generally not required. Excellent time management, reliability, and the ability to follow complex guidelines distinguish top performers in this remote, independent position. These competencies ensure accurate ad evaluation, maintain ad quality standards, and contribute to improving user experience on Google platforms.

What does a typical workday look like for an ads quality rater at Google?

As an Ads Quality Rater, your day will primarily involve independently evaluating and rating online advertisements and search results according to specific guidelines provided by Google. You typically work from home on a flexible, part-time schedule, setting your own hours to fit project needs within weekly limits. The role is highly task-oriented, requiring you to review multiple ads and provide detailed feedback, often with minimal direct supervision. While most work is conducted independently, you'll occasionally communicate with coordinators or team leads to clarify guidelines or resolve questions. This position offers autonomy and valuable insight into how digital ads are assessed for relevance and quality.

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ADS Quality Rater Google jobs near you
Infographic showing various Ads Quality Rater Google job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% Remote job distribution, with an average salary of $41,453 per year, or $19.9 per hour.

Software Engineer III, Discover Ads Recommendations

Socket.dev

Mountain View, CA • On-site

$147 - $210/hr

Other

Posted 3 days ago

New

Job description

MINIMUM QUALIFICATIONS:
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with end-to-end machine learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 1 year of experience building and deploying recommendation systems models (retrieval, prediction, ranking, personalization, search quality, embedding) in production.
PREFERRED QUALIFICATIONS:
  • Master\'s degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience with Ads.
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 Discover Ads team aims to bring premium quality ads to Discover users, and it will make a huge impact on advertisers and Google. There is a big focus on improving Ads Quality and Personalization: finding the right products for the right users to create our Ads is crucial for our product success. Our team owns the core models which predict signals for our ranking system.

Ranking an ad requires many predictions in different stages of ads serving stack. We build models to predict many different user actions accurately; e.g., click-through-rate, likelihood of a conversion, and others.

In this role you will focus on solving quality challenges via state of the art ML algorithms and feature engineering techniques.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We\’re made up of multiple teams, building Google\’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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

Learn more about benefits at Google[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:
  • Write product or system development code.
  • Build end to end machine learning systems on large scale data.
  • Research novel ideas on model architectures and analysis, and then build, experiment and deploy them to improve prediction qualities.
  • Work with latest ML techniques, tools like TensorFlow, Adbrain, TPU, and Recommendation systems.
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