ZipRecruiter

Log In

2

Remote Google Ai Jobs in Spring, TX (NOW HIRING)

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Bedrock, Google Vertex AI, Databricks, or similar AI platforms. · Experience designing ...

NATIONMIND LLC

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

Houston TX or US Remote Duration: 6-12 months Skills: AI and Automation~AI Agents Experience ... Google Vertex AI, Databricks, or similar technologies. · Understanding of MCP concepts, tool ...

Trivium

High-ticket Closer

Houston, TX · Remote

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

Trivium

High-ticket Closer

Houston, TX · Remote

$250K/yr

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

HungerRush

Menufy GTM Engineer (Remote)

Houston, TX · Remote

... unoptimized Google Business Profile). * Deploy AI agents that advance asynchronous conversations with prospects autonomously from first touch through qualification to a yes without human SDR ...

Trivium

High-ticket Closer

Washington, DC · On-site +1

$250K/yr

US - fully remote We're hiring a high-performance closer to sell QuickRank, AI-powered local SEO system designed to place businesses in the top 3 positions of Google Maps, dominate local search ...

Soft source inc

Content Manager

Humble, TX · Remote

Content Manager (Remote)Location Remote(USA) Employment Type Full-time About the Role We are ... Familiarity with Google Analytics, Search Console, and SEO tools. * Excellent project management ...

Kastle Systems

Growth Marketing Specialist

Houston, TX · Remote

Kastle's integrated security solution, including access control, video, and remote video monitoring ... AI-forward engineering approach -- comfortable leveraging automation, AI agents to scale, smart ...

New

Inizio Partners

Data Scientist

Houston, TX · On-site +1

US Remote This resource will work specifically on anomaly detection within one of our plant ... Experience with Databricks, AWS SageMaker and/or Google Vertex AI * Comfortable working in Linux

Optidge

Paid Search Strategist Freelancer

Houston, TX · On-site +1

$40K/mo

Optidge is a home-grown remote-first digital marketing agency supporting small and medium ... Google Tag Manager, and Call tracking metrics or a similar platform 3. Knowledge of how to use AI ...

next page

Showing results 1-20

All JobsGoogle Ai JobsRemote Google Ai JobsRemote Google Ai Jobs in Spring, TX

Remote Google Ai information

See Spring, TX salary details

$13

$24

$33

How much do remote google ai jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for remote google ai in Spring, TX is $24.63, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $29.52 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.
What are popular job titles related to Remote Google Ai jobs in Spring, TX? For Remote Google Ai jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Google Ai jobs in Spring, TX look for? The top searched job categories for Remote Google Ai jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Google Ai jobs? Cities near Spring, TX with the most Remote Google Ai job openings:
Remote Google Ai jobs near you
GCP Infrastructure Automation Engineer - Remote

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Houston, TX • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

Posted 7 days ago

New

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


Compensation & Benefits Notice


The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer


The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.

Apply