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Ads Evaluator Jobs (NOW HIRING)

Instacart

Ads AI Analytics Lead II

OR · On-site +1

Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost. * Run A/B or uplift experiments to quantify impact and guide iteration. * Translate Ads ...

Reddit

Principal Data Scientist, Ads

... evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data ... science and engineering teams. * Technical deep dive & authority: Be the undisputed domain ...

Instacart

Ads AI Analytics Lead II

Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost. * Run A/B or uplift experiments to quantify impact and guide iteration. * Translate Ads ...

Reddit

Principal Data Scientist, Ads

... evaluation, and A/B experimentation to ensure scientific rigor and trust across the Ads data ... science and engineering teams. * Technical deep dive & authority: Be the undisputed domain ...

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Ads Evaluator information

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How much do ads evaluator jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ads evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is an ads evaluator?

An Ads Evaluator is responsible for analyzing and rating the quality, relevance, and accuracy of online advertisements. They assess how well ads align with search queries and user intent, helping improve ad performance for search engines and social media platforms. This role requires attention to detail, familiarity with online content, and adherence to specific guidelines. Most positions are remote, offering flexible work hours.

What does an ads evaluator do?

As an Ads Evaluator, your day generally involves reviewing a set number of online ads, assessing their content for relevance and quality according to specific guidelines provided by the company. While most work is completed individually and can often be done remotely, you may occasionally collaborate with supervisors or team members for training, feedback, or clarifications on evaluation criteria. Tasks are usually task-based, allowing for some flexibility in scheduling, although deadlines for submissions are common. This structured yet flexible work environment makes the role well-suited for those who are detail-oriented and capable of self-management.

What skills and qualifications are needed to be an ads evaluator?

To thrive as an Ads Evaluator, you need strong analytical skills, keen attention to detail, and a solid understanding of online advertising principles; a high school diploma or equivalent is typically required. Familiarity with digital platforms, web browsers, and sometimes proprietary evaluation tools or content management systems is beneficial. Excellent communication, time management, and the ability to work independently are important soft skills for excelling in this position. These skills ensure accurate and efficient assessment of ad quality and relevance, contributing to better user experiences and effective ad campaigns.

Is there a job that pays you to watch ads?

Ads Evaluator jobs involve reviewing and analyzing online advertisements to assess their quality, relevance, and compliance. These roles often require attention to detail and may involve using specific platforms or tools, with flexible schedules and minimal formal qualifications. They provide a way to earn income by evaluating advertising content online.
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Ads Evaluator jobs near you
Infographic showing various Ads Evaluator job openings in the United States as of August 2026, with employment types broken down into 52% Full Time, 43% Part Time, and 5% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Research Data Scientist, Ads Metrics, Ads Experiences

Mountain View, CA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$147 - $210/hr

Other

This job post has expired 5 days ago. Applications are no longer accepted.

Job description

MINIMUM QUALIFICATIONS:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
PREFERRED QUALIFICATIONS:
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
ABOUT THE JOB:

Ads Metrics is the DS team for Search ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google from classic text ads, to rich shopping ads, to exciting new products like Discovery ads. These products - the heart of Google’s business are complex, advanced, and they are rapidly growing and evolving. The Ads Experiences Data Science team is a subteam within Ads Metrics that drives analyses to help AdsUI team improve ads UI, formats, and whole page experiences.

RESPONSIBILITIES:
  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

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

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

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