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Weekend Amazon Seo Jobs (NOW HIRING)

I am looking for a Search Engine Optimization (SEO) Manager who aspires to work in a full service integrated marketing agency setting and has a passion for online marketing. Qualifications Minimum of ...

Job Title: SEO Specialist Job Location: Madison, NJ Job Type: Contract * Manage and improve organic search engine performance and goalsetting based on clickthrough rates traffic and conversions Work ...

We're seeking a proactive SEO Specialist to join our team. In this role, you'll drive performance for our clients' organic search presence while also contributing in sales calls, building strong ...

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How much do weekend amazon seo jobs pay per year?

As of Jun 5, 2026, the average yearly pay for weekend amazon seo in the United States is $86,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $97,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Amazon Seo vs Weekend E-commerce Content Specialist?

AspectWeekend Amazon SeoWeekend E-commerce Content Specialist
Required CredentialsSEO certifications, Amazon seller account knowledgeContent writing, SEO, e-commerce platform familiarity
Work EnvironmentOnline, remote, Amazon seller platformsOnline, e-commerce websites, product listings
Employer & IndustryAmazon sellers, e-commerce companiesRetail brands, online marketplaces
Search & Comparison IntentFocus on Amazon SEO strategies and rankingsFocus on product content and overall e-commerce SEO

Weekend Amazon Seo primarily concentrates on optimizing product listings for Amazon's search algorithm, requiring specific Amazon SEO skills and certifications. In contrast, Weekend E-commerce Content Specialists focus on creating and optimizing content across various online platforms, including product descriptions and blogs. Both roles involve SEO but differ in platform focus and skill sets.

What cities are hiring for Weekend Amazon Seo jobs? Cities with the most Weekend Amazon Seo job openings:
What are the most commonly searched types of Amazon Seo jobs? The most popular types of Amazon Seo jobs are:
What states have the most Weekend Amazon Seo jobs? States with the most job openings for Weekend Amazon Seo jobs include:

SEO Specialist (Technical SEO)

Purple Drive Technologies

Minneapolis, MN โ€ข On-site

Full-time

Posted 6 days ago


Job description

Overview:
Job Title: SEO Specialist (Technical SEO)
Location: Onsite - Minneapolis, MN
Secondary Locations: Charlotte, NC / Irving, TX
Experience Required: 10+ Years
Employment Type: Contract
Role Overview
We are seeking a highly experienced SEO Specialist with deep expertise in Technical SEO to drive organic performance across large-scale, modern web platforms. This role requires strong hands-on capability in site audits, crawl optimization, Core Web Vitals, and structured data, along with the ability to collaborate closely with web development teams working on JavaScript-heavy frameworks.
The ideal candidate brings a strong engineering mindset, data-driven decision-making, and proven experience optimizing enterprise websites for search visibility and performance.
Key Responsibilities
Technical SEO & Site Health
  • Conduct comprehensive technical SEO audits, identifying and resolving issues related to crawlability, indexation, canonicalization, broken links, and redirect chains.
  • Ensure SEO best practices are consistently applied across large, complex web properties.
Web Development & JavaScript SEO
  • Collaborate closely with development and TOS teams on HTML, CSS, and JavaScript implementations.
  • Optimize SEO for modern JavaScript frameworks such as React, Vue, and Angular, balancing client-side vs. server-side rendering strategies.
  • Provide technical guidance to ensure SEO is embedded into development workflows.
Structured Data & Rich Results
  • Implement, test, and validate structured data (Schema.org) to enable enhanced search features and rich results.
  • Monitor structured data health and resolve validation errors.
Core Web Vitals & Performance Optimization
  • Improve Core Web Vitals, including LCP, INP, and FID, through performance-focused techniques such as caching, image optimization, code splitting, and script optimization.
  • Partner with engineering teams to drive page speed and UX improvements.
Log File Analysis & Crawl Budget Optimization
  • Perform server log analysis to identify crawl inefficiencies and indexing gaps.
  • Optimize crawl budget for large-scale sites to ensure priority pages are discovered and indexed effectively.
Measurement & Continuous Improvement
  • Monitor SEO performance and technical KPIs; recommend and implement ongoing optimizations.
  • Stay current with search engine algorithm updates and emerging SEO best practices.
Required Skills & Qualifications
  • 10+ years of experience in SEO, with strong focus on Technical SEO for enterprise-scale websites.
  • Expert-level knowledge of site audits, crawlability, indexation, and technical issue remediation.
  • Strong understanding of HTML5, CSS3, and JavaScript.
  • Hands-on experience optimizing SEO for React, Vue, Angular, or similar frameworks.
  • Proven expertise in Core Web Vitals optimization (LCP, INP, FID).
  • Experience implementing and validating structured data/schema markup.
  • Strong experience with server log analysis and crawl budget management.
  • Excellent analytical, troubleshooting, and communication skills.
Essential Skills
  • Technical SEO
  • HTML5 / CSS3
  • JavaScript
  • JavaScript SEO (CSR vs. SSR)
  • Structured Data (Schema.org)
  • Core Web Vitals
  • Log File Analysis
  • Crawl Budget Optimization
Key Competencies
  • Strong technical problem-solving and attention to detail
  • Ability to influence engineering teams without direct authority
  • Data-driven mindset with focus on measurable outcomes
  • Ownership of SEO quality and long-term scalability
  • Adaptability to evolving search engine technologies
Skills
Technical SEO | HTML5 | CSS3 | JavaScript | React | Vue | Angular | Core Web Vitals | Structured Data | Log Analysis