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Ads Quality Rater Jobs in California (NOW HIRING)

Google

Staff Software Engineer, Google Ads

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for ... We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on ...

Precision Aviation Group

Quality Final Inspector

Burbank, CA · On-site

$30 - $35/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Authorization and documented training on company-specific procedures, Airworthiness Directives (ADs ... Pay Rate $30 - $35 Per Hour EOE/Vets/Disabled Equal Opportunity Employer This employer is required ...

Moloco

Group Product Manager - Supply Quality

Menlo Park, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers ... Deep understanding of supply-side performance metrics such as fill rate, bid density, latency ...

Walmart

(USA) Specialist, Quality Assurance

Irvine, CA · On-site

$28 - $54/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with ads integration testing for streaming, CTV, or OTT platforms * Proficiency using ... The actual hourly rate will equal or exceed the required minimum wage applicable to the job ...

Vizio

(USA) Specialist, Quality Assurance

Irvine, CA · On-site

$28 - $54/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with ads integration testing for streaming, CTV, or OTT platforms * Proficiency using ... The actual hourly rate will equal or exceed the required minimum wage applicable to the job ...

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All JobsAds Quality Rater JobsAds Quality Rater Jobs in California

Ads Quality Rater information

See California salary details

$12

$19

$27

How much do ads quality rater jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for ads quality rater in California is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.59 per hour, depending on experience, location, and employer.

What does an ads quality rater do?

As an Ads Quality Rater, your workday usually involves reviewing various online ads and assessing their relevance and quality according to set guidelines. Most of the work is independent and performed remotely, offering flexibility in setting your own schedule within certain hourly limits set by the employer. You will use specialized online platforms to review content, provide ratings, and submit detailed feedback based on your analysis. While the role does not involve direct customer interaction, you will collaborate with a remote team through periodic emails or virtual meetings, and consistent, high-quality work can open up opportunities for project extensions or advancement.

What are the key skills and qualifications needed to thrive in the ads quality rater position, and why are they important?

To thrive as an Ads Quality Rater, you need strong analytical skills, high attention to detail, and a good understanding of internet culture and search engines, often supported by a bachelor's degree or relevant experience. Familiarity with web browsers, proprietary rating platforms, and online evaluation tools is typically required, though no formal certifications are needed. Excellent time management, self-motivation, and written communication skills help you stand out in this largely independent, remote position. These skills are vital to accurately assess ad relevance and quality, ensuring a better user experience and more effective online advertising.

What is an ads quality rater?

An Ads Quality Rater is a remote, part-time role where individuals evaluate the relevance and quality of online ads based on specific guidelines. Raters analyze search queries, ad placements, and landing pages to ensure they align with user intent. The job requires fluency in the assigned language, strong analytical skills, and familiarity with internet search trends. It helps improve ad algorithms and enhances user experience by providing human insights to search engine companies.

What are the most commonly searched types of Ads Quality Rater jobs in California?

The most popular types of Ads Quality Rater jobs in California are:

What are popular job titles related to Ads Quality Rater jobs in California?

For Ads Quality Rater jobs in California, the most frequently searched job titles are:

What job categories do people searching Ads Quality Rater jobs in California look for?

The top searched job categories for Ads Quality Rater jobs in California are:

What cities in California are hiring for Ads Quality Rater jobs?

Cities in California with the most Ads Quality Rater job openings:

Ads Quality Rater jobs near you
Infographic showing various Ads Quality Rater job openings in California as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $40,910 per year, or $19.7 per hour.

Principal Machine Learning Infrastructure Engineer, Ads & Discovery

Roblox

San Mateo, CA • On-site

$295K - $345K/yr

Full-time

Posted 19 days ago

Job description

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators.
At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
With Roblox Ads & Discovery business growing at a rapid rate, we are building large scale ads machine learning infrastructure to deliver more value to our users and our advertisers.
As a Machine Learning Infrastructure Engineer, you'll build scalable, reliable, and high-performance infrastructure that powers ML systems across our organization. You'll operate at the scales of hundreds of billions of engagements, and redefine how we deliver performance ads to hundreds of millions of users.
You will:
  • You will co-design models and systems, working at the intersection of model architecture and ML infrastructure, partnering closely with core modelers, data and AI infrastructure engineers, and product teams to push the boundaries of large-scale training and serving. Your work will span recommendation, search, and agentic applications, including large transformer architectures, LLMs, generative rankers, and efficient offline and online content-understanding systems.
  • You will investigate model, data, and systems tradeoffs end to end-from data pipelines and distributed training to low-latency inference and production serving. This includes designing efficient KV-cache strategies, applying pruning and quantization, optimizing GPU utilization and memory efficiency, and developing custom kernels where needed.
  • You are comfortable working across modern ML systems technologies such as FSDP, vLLM, SGLang, CUDA, distributed training frameworks, inference engines, and GPU kernels, while remaining tool-agnostic and focused on achieving step-function improvements in model quality, throughput, latency, reliability, and cost.
  • Lead strategic planning and roadmap execution of scalable production-ready ML systems including model training, data pipelines, feature engineering and model inference.
  • Own the architecture, establish engineering best practices of scalability, reliability, and cost-effectiveness of ML infrastructure (e.g., training, serving, feature).
  • Work closely with data scientists, ML engineers, platform teams, and product stakeholders to design, implement, and operate robust ML platforms that accelerate model development and deployment.
  • Stay abreast of industry trends in machine learning and infrastructure to ensure the adoption of leading-edge technologies and practices.

You have:
  • 5+ years of experience designing, building, and deploying large-scale machine learning systems in production environments.
  • 3+ years of experience tech leading ML infrastructure engineers
  • Strong communication skills and a collaborative approach to problem solving.
  • BS, MS, or Ph.D. in Computer Science, Engineering, or equivalent experience.

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$295,250-$345,040 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.

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