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Remote Google Ai Jobs in Boca Raton, FL (NOW HIRING)

micro1 AI

AI Sensor Data Specialist - Remote

Hollywood, FL · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Davie, FL · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

micro1 AI

AI Sensor Data Specialist - Remote

Sunrise, FL · Remote

$13 - $15/hr

Remote - based in Alabama, Alaska, Arkansas, Delaware, Florida, Georgia, Idaho, Indiana, Illinois ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

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All JobsGoogle Ai JobsRemote Google Ai JobsRemote Google Ai Jobs in Boca Raton, FL

Remote Google Ai information

See Boca Raton, FL salary details

$14

$26

$35

How much do remote google ai jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote google ai in Boca Raton, FL is $26.26, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $31.49 per hour, depending on experience, location, and employer.

What is the difference between Remote Google Ai vs Remote Data Scientist?

AspectRemote Google AiRemote Data Scientist
Required CredentialsAI certifications, programming skills, machine learning knowledgeStatistics, programming, data analysis, often a master's degree
Work EnvironmentTech companies, AI research labs, remote teams within Google or similar firmsVarious industries including tech, finance, healthcare; remote or onsite
Employer & Industry UsagePrimarily in tech giants like Google, startups focusing on AIBroadly in tech, finance, healthcare, consulting

Remote Google Ai specialists focus on developing and implementing AI models within Google or similar companies, requiring expertise in machine learning and AI tools. Remote Data Scientists analyze data to inform business decisions across various industries, often with a broader skill set in statistics and data analysis. While both roles involve data and programming, Remote Google Ai roles are more specialized in AI development, whereas Remote Data Scientists have a wider application in data analysis and insights.

What is a Remote Google AI?

A Remote Google AI job refers to a position with Google’s Artificial Intelligence teams that allows employees to work from any location rather than a traditional office setting. These roles typically involve developing, researching, or supporting AI technologies and products, such as machine learning models, natural language processing, or AI infrastructure. Remote Google AI positions may include software engineering, research scientist, data engineering, or technical program management. Working remotely with Google AI provides flexibility while collaborating with global teams on cutting-edge projects.

How does collaborating with cross-functional teams typically work in a remote Google AI role?

In a Remote Google AI position, collaboration with cross-functional teams—such as product managers, software engineers, UX designers, and data scientists—is a core part of the workflow. Most coordination happens through virtual meetings, cloud-based project management tools, and shared documentation to ensure smooth communication despite physical distance. You'll often participate in brainstorming sessions, code reviews, and planning meetings to align AI solutions with product goals. Clear communication and proactive updates are valued, as team members may be spread across different time zones. This structure fosters a dynamic, innovative environment while enabling flexible work arrangements.

What are the key skills and qualifications needed to thrive as a remote Google AI engineer, and why are they important?

To thrive as a Remote Google AI Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience in AI research or development. Proficiency with programming languages like Python, TensorFlow, and cloud-based tools such as Google Cloud Platform is essential, along with familiarity with version control systems like Git. Exceptional problem-solving skills, effective remote communication, and self-motivation are valuable soft skills for excelling in a distributed team environment. These skills ensure you can develop innovative AI solutions, collaborate efficiently across locations, and drive impactful projects at scale.
What job categories do people searching Remote Google Ai jobs in Boca Raton, FL look for? The top searched job categories for Remote Google Ai jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Google Ai jobs? Cities near Boca Raton, FL with the most Remote Google Ai job openings:
Remote Google Ai jobs near you
Infographic showing various Remote Google Ai job openings in Boca Raton, FL as of August 2026, with employment types broken down into 4% Internship, 57% Full Time, 22% Part Time, 4% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $54,624 per year, or $26.3 per hour.

Lead, AI Search & SEO Strategy (Remote)

Delan Associates, Inc

Fort Lauderdale, FL • Remote

Full-time

Posted 6 days ago

Job description

Lead, AI Search Optimization (AEO/GEO)

Job Summary
Dynamic and results-driven AI Search & SEO Strategist with a passion for maximizing visibility across emerging AI-driven search ecosystems. This individual will serve as Princess Cruises' subject matter expert in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO), ensuring brand visibility across large language models (LLMs), AI search platforms, and evolving discovery experiences.

As a key member of the eCommerce team, this role will own and drive the technical execution required to maximize visibility across AI-powered search environments including Google AI Overviews, ChatGPT, Perplexity, and other AI answer engines. The position acts as the critical link between Engineering, Content, SEO, Analytics, and agency partners to ensure Princess Cruises remains discoverable as search behavior continues to evolve.

Key Responsibilities

AI Search & AEO/GEO Strategy Execution (25%)

  • Translate AI Search (AEO/GEO) strategies into actionable technical initiatives.
  • Partner with SEO agencies and content teams to align traditional SEO and AI-native optimization efforts.
  • Identify opportunities to improve AI answer inclusion, citations, and brand visibility across AI search ecosystems.

AI Search / LLM Optimization (25%)

  • Optimize content and site structure for LLM discoverability and citation.
  • Improve:
    • Entity authority and topical relevance
    • Structured answer formats (FAQs, summaries, authoritative content blocks)
    • E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
  • Identify gaps where Princess content is underperforming in AI-generated responses.

Technical SEO & Structured Data Ownership (20%)

  • Own and enhance:
    • Schema markup and structured data (JSON-LD, entity markup)
    • Crawlability, indexation, and internal linking improvements
  • Ensure content is modular, machine-readable, and optimized for AI consumption.
  • Partner with engineering teams to improve:
    • Semantic HTML
    • Content hierarchy and formatting
    • Performance and accessibility signals

Performance Measurement & Optimization (15%)

  • Define and track KPIs related to:
    • Visibility within AI search experiences
    • Citation frequency and share of voice
    • Traffic and conversion impact
  • Partner with Analytics teams to build AI-search-specific measurement frameworks.
  • Lead testing, experimentation, and optimization initiatives.

Engineering Partnership & Delivery (10%)

  • Serve as the primary contact for AEO/GEO technical requirements.
  • Translate business objectives into clear technical requirements and user stories.
  • Influence engineering prioritization and backlog planning.
  • Validate implementation quality and ensure successful delivery.
  • Bridge agency recommendations with internal technical feasibility.

Additional Responsibilities (5%)

  • Perform other duties as assigned.
  • Adhere to all company policies, Code of Conduct requirements, audit procedures, and controls related to business systems and financial data.

Scope

The Lead, AI Search Optimization (AEO/GEO) is responsible for driving Princess Cruises' visibility across AI-powered search and answer platforms, including Google AI Overviews, ChatGPT, Perplexity, and other LLM ecosystems.

This role operates at the intersection of eCommerce, Content, Technology, Analytics, and agency partnerships. The individual will lead initiatives focused on AI discoverability, content optimization, technical SEO enhancements, structured data strategy, and AI search performance.

As a highly collaborative individual contributor, this role will influence enterprise-wide digital performance and support customer acquisition, engagement, conversion, and brand visibility objectives across Princess Cruises' global portfolio.

Problem Solving

This role addresses complex and evolving challenges within the AI search landscape where best practices, ranking signals, and success metrics continue to emerge.

The individual will analyze data from AI visibility platforms, SEO tools, analytics solutions, and search console reporting to:

  • Diagnose visibility and citation challenges.
  • Evaluate technical, content, and authority-related factors impacting performance.
  • Develop scalable improvement plans.
  • Influence cross-functional stakeholders to execute recommendations.

The role regularly exercises independent judgment in identifying opportunities that impact discoverability, traffic, and conversion performance.

Impact

This position serves as Princess Cruises' internal authority on AI Search Optimization and helps shape how the organization approaches discoverability across AI-powered search experiences.

Success in the role directly contributes to:

  • Increased AI search visibility
  • Brand awareness
  • Customer acquisition
  • Traffic growth
  • Engagement and conversion performance

The role helps ensure Princess Cruises remains competitive as consumers increasingly rely on AI-powered discovery tools throughout their purchasing journey.

Leadership

Although this role does not have direct people management responsibilities, it requires significant cross-functional leadership and influence.

The Lead, AI Search Optimization (AEO/GEO) will:

  • Provide thought leadership on AI search best practices.
  • Drive alignment across Content, Technology, Analytics, eCommerce, and agency teams.
  • Communicate recommendations to technical and non-technical stakeholders.
  • Lead initiatives from concept through implementation.
  • Influence priorities and decision-making without direct authority.

Strong communication, stakeholder management, and project leadership skills are essential.

Required Qualifications

Education

  • Bachelor's Degree in Marketing, Business, or a related field.

Experience

  • 3+ years of digital marketing experience with a focus on SEO.
  • 1+ year of hands-on AEO/GEO optimization experience.
  • Experience working with AI-driven search ecosystems and emerging discovery platforms.
  • Strong understanding of how SEO, AEO, and GEO contribute to broader digital marketing strategies.

Technical Skills

  • Adobe Analytics
  • Google Analytics 4 (GA4)
  • Google Search Console (GSC)
  • HTML/CSS
  • Basic JavaScript
  • WordPress
  • Adobe Experience Manager (AEM) or comparable CMS
  • SEO, AEO, and GEO tools and best practices

Core Competencies

  • Exceptional written and verbal communication skills.
  • Strong analytical and problem-solving abilities.
  • Ability to translate business objectives into technical execution plans.
  • Strong collaboration and stakeholder management capabilities.