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Remote Ads Evaluator Jobs (NOW HIRING)

Account Manager

Manhattan, NY · Remote

$1.0K - $1.5K/mo

As of now, our main business relies on Amazon PPC, but we are rapidly expanding to Google Ads and ... Conversation skills will be evaluated on selected candidates through phone interviews. Willing to ...

Senior Manager, User Acquisition

OR · On-site +1

$150K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll also run Apple Search Ads, rewarded networks, and managed-service DSPs (Unity, Tapjoy, and ... Lead the testing roadmap for search and programmatic channels, owning the evaluation and onboarding ...

At Signature Media , you'll manage more than Google Ads campaigns--you'll influence how growing ... Designing and evaluating paid media experiments on platforms like Meta, Reddit, Nextdoor, Angi, and ...

New

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Remote Ads Evaluator information

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$29.5K

$65.5K

$106.5K

How much do remote ads evaluator jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote 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 are the key skills and qualifications needed to thrive as a remote ads evaluator, and why are they important?

To thrive as a Remote Ads Evaluator, you need strong analytical skills, attention to detail, and familiarity with online advertising platforms, usually backed by a high school diploma or higher. Experience with web browsers, ad review interfaces, and sometimes proprietary evaluation tools is often required. Excellent time management, adaptability, and clear written communication distinguish top performers in this remote role. These skills ensure accurate and efficient ad assessments, directly influencing ad quality and user experience for digital platforms.

What is the difference between Remote Ads Evaluator vs Remote Content Moderator?

AspectRemote Ads EvaluatorRemote Content Moderator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentOnline, flexible hoursOnline, flexible hours
Industry UsageAdvertising, marketingSocial media, online platforms

Both roles involve online work with flexible hours and require basic computer skills. Remote Ads Evaluators focus on assessing online advertisements for relevance and quality, mainly in marketing and advertising industries. Remote Content Moderators review user-generated content to ensure compliance with platform policies, mainly in social media and online communities. While similar, their primary tasks and industry focus differ, making each role suited to different interests within online content management.

How do remote ads evaluators typically collaborate with teams while working independently?

Although Remote Ads Evaluators primarily work independently from home, collaboration is often facilitated through digital communication tools. Evaluators may participate in regular virtual meetings, receive feedback from project managers, and use online platforms to discuss guidelines and share best practices with peers. This structure ensures consistency and quality across evaluations, while still allowing for the flexibility and autonomy of remote work.

What is a remote ads evaluator?

Remote Ads Evaluators are individuals who work from home to assess the quality and relevance of online advertisements. They review ads based on specific guidelines provided by companies to ensure that the ads meet certain standards, are appropriate for the target audience, and are aligned with user search queries. This role helps improve the accuracy and effectiveness of online advertising by providing feedback that can be used to optimize ad placement and content. Remote Ads Evaluators typically work as independent contractors and may be required to pass assessments before being hired.
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Infographic showing various Remote Ads Evaluator job openings in the United States as of August 2026, with employment types broken down into 65% Full Time, 32% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Staff Data Scientist, Ads Delivery

Pinterest

San Francisco, CA • On-site, Remote

$164K - $339K/yr

Full-time

Re-posted 9 days ago


Job description

About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
We are looking for a Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.
What you'll do:
  • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
  • Lead projects on: Ads Delivery opportunities across different funnel stages
  • Design and productionize robust, scalable ML and evaluation frameworks-spanning forecasting, recommendation, and causal inference.
  • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
  • Collaborate across disciplines-Product, Engineering, Research, Business, and Design-translating complex data questions into actionable business insights.
  • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What we're looking for:
  • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
  • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
  • Strong product intuition-ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
  • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
  • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
  • Track record mentoring and growing data talent at the staff/senior IC level.
  • Cross-functional leadership and the ability to align competing interests towards shared goals.
  • Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:
  • We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
  • This role will need to be in the office for in-person collaboration 1-2 times per week and therefore needs to be in a commutable distance to the following offices: San Francisco, Palo Alto or Seattle.

#LI-NM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
$164,695-$339,078 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.