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Ai Optimization Jobs in Nevada (NOW HIRING)

Experience overseeing AI-assisted content with a human editing and review process. * Local SEO and Google Business Profile experience across multiple locations. * Bilingual (English and Spanish) a ...

Experience overseeing AI-assisted content with a human editing and review process. * Local SEO and Google Business Profile experience across multiple locations. * Bilingual (English and Spanish) a ...

SEO & Content Specialist / Strategist

Las Vegas, NV · On-site +1

$75K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Discoverability Across Search, AI-Powered Discovery Surfaces, and Answer Engines * Run keyword research, intent expansion, and competitive discovery analysis using leading analytics and SEO platforms ...

... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ... AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ... AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ... AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

... optimization. * Design and interpret complex laboratory experiments involving chemical reactions ... AI systems. Preferred Qualifications * Advanced degree (PhD preferred) in Chemistry or closely ...

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Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Nevada?

For Ai Optimization jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Nevada look for?

The top searched job categories for Ai Optimization jobs in Nevada are:

What cities in Nevada are hiring for Ai Optimization jobs?

Cities in Nevada with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Nevada as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Performance Marketing Manager - SEO/AEO

Noble Studios

Reno, NV • Remote

Full-time

Re-posted 6 days ago


Job description

Our SEO/AEO specialist (called Performance Marketing Manager) plays a key role in executing and optimizing organic strategies that improve search visibility, answer engine presence and measurable client outcomes. This mid-level role partners with strategists, designers, developers, copywriters and clients to translate business goals into clear SEO/AEO recommendations.

Noble is looking for a highly authentic and collaborative contributor who takes immense pride in delivering polished, high-quality work aligned with overarching client strategies. Combining analytical rigor with proactive curiosity, they excel at spotting patterns, identifying hidden opportunities, and raising the sharp questions that keep teams ahead of the curve. They seamlessly translate technical complexity into clear, actionable advice that builds lasting trust-proving they can easily juggle multiple priorities while making everyone look good.

CORE RESPONSIBILITIES:Search & AI Strategy Execution 
  • Contribute to SEO and Answer Engine Optimization (AEO) strategies for assigned clients by translating client goals, audience behavior, search intent and performance data into practical recommendations.
  • Own day-to-day SEO/AEO deliverables with rigor, polish and clear rationale, including audits, content briefs, analysis, reporting inputs and optimization recommendations that help the team move work forward.
  • Collaborate with content, development, analytics, paid media, account and strategy teams to ensure SEO/AEO recommendations are actionable, integrated and tied to broader marketing plans.
Content
  • Conduct keyword, topic, intent, SERP, competitor and AI research to identify content gaps, entity and authority opportunities and visibility risks across traditional search and AI platforms.
  • Understand how AI models understand, summarize, cite and recommend brands and translate analysis into identified patterns, source/citation gaps and recommended actions.
  • Support offsite integration strategies by researching social media, citations, digital PR, partnership, other cross-channel signals that influence organic visibility and AI visibility.
Technical
  • Audit technical SEO issues including crawlability, indexation, internal linking, URL structure, redirects, canonicalization, XML sitemaps, robots directives, page speed/Core Web Vitals, mobile usability, JavaScript rendering and schema markup.
  • Analyze and translate technical findings into prioritized roadmaps that balance business impact, user value, level of effort, development dependencies and performance risk.
  • Identify and implement structured data, metadata, internal linking and content enhancements that improve search engine and answer engine understanding, eligibility for rich results and alignment with user intent.
Data Analysis
  • Monitor organic performance using platforms such as GA4, Google Search Console, Data Studio, and rank/visibility tools to surface signals early and clearly explain what changed, why it matters and what to do next.
OUR IDEAL CANDIDATE:
  • Operates with consistency, curiosity and care, taking pride in well-constructed and high-quality work.
  • Brings a detail-driven mindset to every deliverable, showing rigor, polish and a clear understanding of how the work ladders up to client goals and the larger strategy.
  • Spots patterns, red flags, performance shifts and hidden opportunities early, asking sharp questions to help the team make better decisions.
  • Connects the why to the now by translating technical depth and precision into clear, actionable recommendations that build trust with clients and internal teams.
  • Stays prepared, engaged and accountable while managing multiple priorities and contributing to a stronger quality baseline for the team.
REQUIRED EXPERIENCE & SKILLS:
  • 3+years of digital marketing experience with a primary focus on SEO; agency or multi-client experience preferred.
  • Bachelor's degree in a related field or equivalent experience considered.
  • Hands-on understanding of SEO fundamentals across technical SEO, content strategy, internal linking, structured data, information architecture and offsite authority.
  • Working knowledge of AEO concepts, including entity signals, source/citation analysis, conversational query behavior and how content may be interpreted by AI models and answer engines.
  • Ability to audit technical SEO issues and explain their impact in plain language to cross-functional teams and clients.
  • Demonstrated ability to prioritize recommendations using impact/effort, business goals, dependencies and performance data.
  • Strong analytical, research, written and verbal communication skills, with the ability to turn data and observations into clear next steps.
  • Comfort using GA4, Google Search Console, Excel/Google Sheets, Looker Studio, crawling tools such as Screaming Frog, and SEO research/ranking platforms and CMS platforms.
  • Working knowledge of HTML, CSS, JavaScript rendering considerations, and schema markup.
  • Detail-driven, consistent, curious and prepared; someone who takes pride in accurate work, surfaces risks early and helps the team produce stronger outcomes.
  • Ability to manage multiple assignments and deadlines while staying organized, collaborative and accountable.