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Remote Google Ai Jobs (NOW HIRING)

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... our AI applications team. This is a fully remote position for candidates in the continental U.S ... Google Cloud Platform : Experience using and deploying technologies onto GCP, existing GCP ...

PTP

Google Cloud Solution Architect - REMOTE

Austin, TX · On-site +1

$62 - $84.75/hr

Dialogflow CX/ES, Conversational Insights, Speech to Text, BigQuery, Pub/Sub, GKE or Cloud Run, and/or Vertex AI • Expert in Google Cloud foundational best practices for IAM, project hierarchy ...

BenefitHub

Growth Marketing Manager (REMOTE)

Tampa, FL · Remote

... as Google AI Overviews, ChatGPT, and Perplexity. * Track organic and AI-referred visibility ... Remote-friendly work arrangements * Employee discount program * Flexible Spending Account program

New

BenefitHub

Growth Marketing Manager (REMOTE)

Tampa, FL · Remote

... as Google AI Overviews, ChatGPT, and Perplexity. * Track organic and AI-referred visibility ... Remote-friendly work arrangements * Employee discount program * Flexible Spending Account program

New

Rentvine

PMW AE (US West)

Chicago, IL · On-site +1

$170K - $185K/yr

... Gemini, and Google AI Overviews, not just traditional search results. We're a Google Premier ... Remote #LI-DN1 About the Role We're looking for a high-performing Account Executive to sell PMW ...

New

Huzzle

AI Engineer - Remote

Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud. * Understanding ... remote role with flexible work environment Work on cutting-edge AI automation projects with real ...

Rentvine

PMW Account Executive (US West)

Denver, CO · On-site +1

$170K - $185K/yr

... Gemini, and Google AI Overviews, not just traditional search results. We're a Google Premier ... Remote #LI-DN1 About the Role We're looking for a high-performing Account Executive to sell PMW ...

New

Rentvine

PMW AE (US West)

Portland, OR · On-site +1

$170K - $185K/yr

... Gemini, and Google AI Overviews, not just traditional search results. We're a Google Premier ... Remote #LI-DN1 About the Role We're looking for a high-performing Account Executive to sell PMW ...

New

Everything Bagel

SEO / GEO Strategist

New York, NY · On-site +1

Remote Type: Part-Time (15-20 hours/week) availability overlap with 9-5 US Eastern Time. Department ... platforms (Google AI Overviews, ChatGPT, Perplexity, etc.). This role is ideal for someone who ...

Tror AI for everyone

AI/ML Architect

Minneapolis, MN · Remote

Role: AI/ML Architect Remote JD- * AI Architect to define and lead scalable enterprise AI ... Familiarity with MLOps, AI governance, and platforms such as Azure, AWS, or Google Cloud Client ...

Mercury Radio Arts

Sr. Video Editor (Remote)

Irving, TX · Remote

$70K - $80K/yr

Experience generating AI video (Google AI/Veo 3, Sona, Kling, etc * Experience editing multi-camera productions and audio-driven content * Knowledge of social media best practices, aspect ratios, and ...

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Remote Google Ai information

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How much do remote google ai jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for remote google ai in the United States is $27.67, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $33.17 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.

How to get a job in Google AI?

To get a job in Google AI, candidates should have a strong background in computer science, machine learning, or related fields, with experience in programming languages like Python or TensorFlow. Building a portfolio of relevant projects, obtaining advanced degrees, and demonstrating research or practical expertise can improve chances. Applying through Google's careers portal and preparing for technical interviews are essential steps.

How can I make 2000 a week working from home?

A remote Google AI role or similar AI-related jobs can offer high earning potential, often through project-based work, consulting, or freelance tasks. To reach $2000 weekly, professionals typically need specialized skills in machine learning, data analysis, or programming, and may work as contractors or freelancers with flexible schedules. Building a strong portfolio and leveraging platforms like Upwork or specialized AI job boards can help secure consistent high-paying projects.

What is a Remote Google AI job?

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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles, which offer compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in AI 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.

How much do Google AI employees make?

Google AI employees, including roles such as research scientists and machine learning engineers, typically earn salaries ranging from $120,000 to over $200,000 annually, depending on experience and seniority. Compensation often includes bonuses and stock options, and roles require strong skills in AI, machine learning, and programming.

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.
More about Remote Google Ai jobs
What cities are hiring for Remote Google Ai jobs? Cities with the most Remote Google Ai job openings:
What are the most commonly searched types of Google Ai jobs? The most popular types of Google Ai jobs are:
What states have the most Remote Google Ai jobs? States with the most job openings for Remote Google Ai jobs include:
What job categories do people searching Remote Google Ai jobs look for? The top searched job categories for Remote Google Ai jobs are:
Remote Google Ai jobs near you
Infographic showing various Remote Google Ai job openings in the United States as of July 2026, with employment types broken down into 56% Full Time, 22% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $57,562 per year, or $27.7 per hour.
Performance Marketing Consultant (Meta Ads, Google Ads & AI-Powered Growth)

Performance Marketing Consultant (Meta Ads, Google Ads & AI-Powered Growth)

Herbal Goodness

Mckinney, TX • Remote

Other

Posted 8 days ago

Job description

Position Type: Contract Consultant (Results-Focused)
Location: Remote
Compensation: Monthly Retainer + Optional Performance Bonus
Department: Growth Marketing & E-Commerce

About Herbal Goodness

Herbal Goodness is a fast-growing wellness and nutraceutical brand dedicated to empowering wellness and changing lives through premium herbal supplements, teas, liquid extracts, superfoods, and functional wellness products.


We are seeking a highly skilled, AI-enabled Performance Marketing Consultant to take ownership of our Meta and Google advertising ecosystem and drive measurable revenue growth, improved ROAS, and stronger customer acquisition.

The Opportunity

This is not a traditional agency management role.

We are looking for a hands-on growth operator who can rapidly audit, optimize, and scale our Meta and Google Ads accounts while leveraging AI tools to uncover opportunities, improve campaign performance, and generate meaningful business results.

The successful candidate should be able to demonstrate measurable improvements within the first 3-4 weeks of engagement.

This role is ideal for someone who combines:

  • Deep advertising expertise
  • Strong analytical skills
  • AI-powered optimization capabilities
  • Exceptional communication skills
  • A relentless focus on business results

Primary Objective

Drive profitable revenue growth through:

Meta Advertising

  • Facebook Ads
  • Instagram Ads
  • Retargeting Campaigns
  • Customer Acquisition Campaigns

Google Advertising

  • Google Search Ads
  • Google Shopping Ads
  • Performance Max Campaigns
  • YouTube Ads
  • Retargeting Campaigns

Growth Goals

  • Increase revenue
  • Improve ROAS
  • Reduce CPA
  • Increase conversion rates
  • Improve keyword coverage
  • Improve keyword harvesting
  • Increase customer acquisition
  • Reduce wasted ad spend
  • Improve account structure and efficiency

Key Responsibilities

Meta Ads Management

  • Conduct a complete audit of existing Meta campaigns
  • Analyze campaign structure, audiences, creatives, and attribution
  • Identify inefficiencies and wasted spend
  • Optimize campaign architecture
  • Build and scale winning audiences
  • Develop advanced retargeting strategies
  • Improve customer acquisition efficiency
  • Launch and manage A/B tests
  • Monitor and improve campaign performance daily

Google Ads Management

  • Conduct a comprehensive audit of all Google Ads campaigns
  • Review:
    • Search Campaigns
    • Shopping Campaigns
    • Performance Max Campaigns
    • Display Campaigns
    • YouTube Campaigns
  • Improve keyword targeting and coverage
  • Build and maintain robust negative keyword lists
  • Improve Quality Scores
  • Improve campaign structure
  • Improve conversion tracking
  • Identify opportunities for scaling profitable campaigns

Keyword Research & Harvesting

  • Conduct deep keyword research
  • Identify:
    • High-converting keywords
    • Emerging search opportunities
    • Competitor keyword opportunities
    • Long-tail keyword opportunities
  • Develop a systematic keyword harvesting process
  • Build ongoing keyword expansion strategies
  • Translate paid search insights into SEO opportunities

AI-Powered Account Optimization

The successful candidate must have significant experience using AI to improve advertising performance.

Required AI Experience

Demonstrated expertise using:

  • Claude AI
  • ChatGPT
  • Other advanced AI tools

AI Responsibilities

Use AI to:

  • Analyze advertising account performance and present in the dashboard or automated reports
  • Review large datasets quickly and accurately
  • Identify trends and anomalies
  • Surface growth opportunities
  • Improve keyword research and harvesting
  • Optimize ad copy and creative testing
  • Improve campaign structures
  • Generate performance recommendations
  • Produce executive-level reporting and analysis

Candidates should be able to clearly explain how AI is incorporated into their workflow and how it drives better results than traditional account management approaches.


Landing Page & Funnel Optimization

Review and provide recommendations for:

  • Product Pages
  • Collection Pages
  • Landing Pages
  • Checkout Flow
  • Conversion Funnels

Identify opportunities to improve:

  • Conversion Rates
  • Average Order Value
  • Customer Acquisition Efficiency
  • Revenue Per Visitor

Performance Analysis & Reporting

Provide weekly reporting and insights covering:

  • Spend
  • Revenue
  • ROAS
  • CPA
  • Conversion Rate
  • CTR
  • CPC
  • Impression Share
  • Keyword Performance
  • Campaign Performance
  • Audience Performance

Reports should focus on:

  • Insights
  • Root causes
  • Opportunities
  • Action plans

Not simply reporting metrics.

Expected Results

Pre-Work

  • Complete account audits
  • Identify quick wins
  • Present findings and optimization roadmap

Week 1

  • Implement campaign restructuring
  • Launch keyword improvements
  • Improve bidding and targeting

Week 2

  • Launch testing initiatives
  • Expand keyword harvesting
  • Optimize budget allocation

Week 3-4

  • Deliver measurable account improvements
  • Present growth opportunities and scaling plan

We expect to see meaningful movement in account performance within the first 30 days.

Key Performance Indicators (KPIs)


Success in this role will be measured by:

  • Revenue Growth
  • Return on Ad Spend (ROAS)
  • Cost Per Acquisition (CPA)
  • Conversion Rate Improvement
  • Click Through Rate (CTR)
  • Cost Per Click (CPC)
  • New Customer Acquisition
  • Keyword Coverage
  • Keyword Harvesting Success
  • Reduction in Wasted Spend
  • Performance Max Effectiveness
  • Meta Campaign Profitability

Required Qualifications

  • 5+ years managing Meta Ads and Google Ads for e-commerce brands
  • Proven success scaling revenue through paid media
  • Strong understanding of:
    • Google Search
    • Google Shopping
    • Performance Max
    • Meta Ads
    • Retargeting
    • Attribution
    • Conversion Tracking
  • Significant experience using AI to analyze, optimize, and scale advertising accounts
  • Strong analytical and reporting skills
  • Experience managing advertising budgets of $10,000+ per month
  • Ability to identify and execute growth opportunities quickly
  • Ability to explain account performance clearly to business owners and leadership teams

Preferred Experience

  • Wellness, supplements, nutraceuticals, health products, or CPG brands
  • Shopify brands
  • Amazon Attribution
  • GA4
  • Google Tag Manager
  • Looker Studio
  • Triple Whale
  • Northbeam
  • Hyros
  • AI workflow automation
  • n8n, Zapier, or Make.com

Communication & Leadership

The ideal candidate must be able to:

  • Clearly explain account performance
  • Present findings in business language
  • Translate advertising metrics into financial impact
  • Explain why campaigns succeed or fail
  • Recommend actionable improvements
  • Participate in weekly strategy meetings
  • Take ownership and accountability for results

What Success Looks Like

Within the first 60-90 days, we expect:

  • Improved ROAS
  • Reduced CPA
  • Increased revenue
  • Improved keyword coverage
  • Better campaign efficiency
  • Clear visibility into growth opportunities
  • AI-enhanced reporting and optimization processes
  • A scalable growth strategy for Meta and Google

How To Apply

Please submit:

  1. Resume or LinkedIn Profile
  2. Examples of Meta and Google Ads accounts managed
  3. Case studies showing revenue growth achieved
  4. Examples of ROAS improvements
  5. Description of your AI workflow and tools used
  6. Examples of how Claude AI, ChatGPT, or similar tools have improved campaign performance
  7. Monthly consulting rate
  8. Earliest available start date

We are looking for a strategic, AI-enabled growth partner who combines deep advertising expertise, analytical rigor, and modern AI tools to drive measurable business results.

Apply