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Entry Level Search Engine Evaluator Jobs (NOW HIRING)

Follows the evaluation framework for SEO online courses and provides support on quality improvement initiatives. * Ensures course content is accessible and equitable and meets established standards ...

Lecturer (SEM) Department:Arts and Sciences | Art Position Overview The Department of Art seeks a ... Preparing homework and exams, evaluating, and returning student work in a timely manner to promote ...

Lecturer (SEM) Department:Arts and Sciences | Dance Position Overview The Department of Dance seeks ... Preparing homework and exams, evaluating, and returning student work in a timely manner to promote ...

... the entry-level and first time move-up markets. The Company also provides mortgage financing and ... SEM. Additional Responsibilities: • Customer Relationship Management (CRM) -Evaluating data ...

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Entry Level Search Engine Evaluator information

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$16.5K

$41.7K

$71.5K

How much do entry level search engine evaluator jobs pay per year?

As of Jul 24, 2026, the average yearly pay for entry level search engine evaluator in the United States is $41,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,000.00 and $46,500.00 per year, depending on experience, location, and employer.

What is an entry level search engine evaluator?

An entry level search engine evaluator is a person who helps improve the quality and relevance of search engine results. They review and rate search results based on guidelines provided by the search engine company, ensuring users receive the most accurate and useful information. This job typically involves working remotely, following specific instructions, and providing feedback on web pages, search results, and advertisements. No advanced technical skills are usually required, making it accessible for those new to the field.

What are some common challenges faced by entry level search engine evaluators, and how can they be managed?

Entry level search engine evaluators often encounter challenges such as understanding complex evaluation guidelines, maintaining consistency in rating search results, and managing repetitive tasks. To manage these, it's helpful to thoroughly review training materials, ask questions in team forums, and take regular short breaks to maintain focus and accuracy. Continuous feedback from team leads and utilizing community discussion boards can also help evaluators refine their skills and stay updated on guideline changes.

What is the difference between Entry Level Search Engine Evaluator vs Content Moderator?

AspectEntry Level Search Engine EvaluatorContent Moderator
CredentialsHigh school diploma or equivalent; basic computer skillsHigh school diploma or equivalent; strong communication skills
Work EnvironmentRemote, flexible hours, independent workRemote or on-site, team collaboration often required
Industry UsageSearch engines, tech companiesSocial media platforms, online communities
Job FocusEvaluating search results for relevance and qualityMonitoring and moderating user-generated content

While both roles involve online work and require similar basic credentials, Entry Level Search Engine Evaluators focus on assessing search results for relevance, whereas Content Moderators manage and review user content to ensure community standards are met. Both positions are essential in maintaining online quality and are often offered as remote, entry-level roles within the tech industry.

What are the key skills and qualifications needed to thrive as an Entry Level Search Engine Evaluator, and why are they important?

To thrive as an Entry Level Search Engine Evaluator, you need strong analytical skills, attention to detail, and proficiency in web research, typically supported by a high school diploma or equivalent. Familiarity with search engines, web browsers, and online evaluation platforms is usually required, while some companies may provide proprietary training or guidelines. Excellent written communication, time management, and adaptability are important soft skills for interpreting guidelines and delivering consistent results. These abilities ensure accurate assessments of search engine performance, directly impacting the quality and relevance of search results for users.
More about Entry Level Search Engine Evaluator jobs
What cities are hiring for Entry Level Search Engine Evaluator jobs? Cities with the most Entry Level Search Engine Evaluator job openings:
What are the most commonly searched types of Search Engine Evaluator jobs? The most popular types of Search Engine Evaluator jobs are:
What states have the most Entry Level Search Engine Evaluator jobs? States with the most job openings for Entry Level Search Engine Evaluator jobs include:
What job categories do people searching Entry Level Search Engine Evaluator jobs look for? The top searched job categories for Entry Level Search Engine Evaluator jobs are:
Infographic showing various Entry Level Search Engine Evaluator job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 90% Full Time, 3% Part Time, 3% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $41,688 per year, or $20 per hour.

Generative Engine Optimization (GEO) Consultant

Right Side Up

Austin, TX • Remote

Full-time

Posted 26 days ago


Job description

About Right Side Up
 
Please note, this posting is to highlight joining Right Side Up's talent collective specifically and is not representing an internal full-time role, or a current opportunity with a client.
 
Right Side Up is a collective of premium marketing talent—with all of the marketing chops, and none of the agency fluff. We’re trusted by the most respected early-stage ventures, the fastest-growing tech companies, and well-established Fortune 500 teams to do one thing better: Growth. We have over 250+ clients including Stitch Fix, Sephora, Yelp, Sun Basket, Crunchbase, DoorDash, Calm, and more.
 
About the Role
 
We're seeking freelance Generative Engine Optimization (GEO) consultants to help our clients navigate the evolving landscape of AI-powered search and discovery. This role requires a unique blend of brand strategy, content expertise, and technical optimization skills to ensure our clients' content is visible and impactful across Large Language Models (LLMs) like ChatGPT, Claude, Perplexity, and emerging AI platforms. Contract projects typically range from 10–40 hours per week, depending on client needs and project scope.
Responsibilities
  • Develop overarching GEO strategies that combine content optimization, syndication, and analytics.
  • Guide clients through brand-level content strategy, shifting from keyword-focused SEO to audience-focused GEO.
  • Create evaluation frameworks for measuring LLM visibility and impact.
  • Build content strategies based on brand segmentation and audience expertise.
  • Develop and produce optimized content specifically designed for AI discovery.
  • Create content that answers the questions your target audience is asking AI assistants.
  • Guide onsite technical optimization to improve content discoverability by LLMs.
  • Collaborate with development teams to implement technical changes.
  • Stay current on evolving best practices for AI content indexing.
  • Develop syndication strategies across Reddit, YouTube, Quora, Discord, and other platforms.
  • Leverage affiliate marketing and organic community building.
  • Execute PR and community engagement initiatives to amplify content reach.
  • Track and measure LLM visibility and brand mentions across AI platforms.
  • Report on GEO impact using specialized tools and analytics.
  • Provide actionable insights for continuous optimization.
Requirements
  • Strong understanding of content strategy and brand positioning.
  • Experience with content syndication across multiple platforms (Reddit, YouTube, Quora, etc.).
  • Familiarity with technical SEO principles and their application to GEO.
  • Analytics mindset with ability to measure and report on visibility metrics.
  • Creative, strategic thinking over purely quantitative analysis.
Tools & Platforms
  • Familiarity with LLM tracking tools (Profound, Scrunch, AirOps, etc.).
  • Content management and optimization tools.
  • Analytics platforms for measuring AI visibility.
Why Right Side Up
 
Join a team that values expertise, flexibility, and meaningful work with some of the most innovative brands in the world.
 
Exciting opportunities are available now — apply today to join our network of experts!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.