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

Cloud Platform Senior Consultant - Remote

Houston, TX · Remote

$55.75 - $76/hr

You will design, build, deploy, and operate cloud-native data infrastructure across AWS and Google ... Evaluate emerging tools and automation approaches--including AI-assisted workflows--to improve ...

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 ...

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 ...

High-ticket Closer

Dallas, TX · 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 ...

... remote client service delivery. Work you'll do As a GCP Engineer on the AI & Data team, you will be ... Google Cloud Platform * Experience developing or supporting data pipelines and platform ...

Optidge is a home-grown remote-first digital marketing agency supporting small and medium ... You'll spend your time preparing data-driven reports using your knowledge of Google Analytics and ...

New

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

This is a fully remote position, but candidates will be expected to be in person for initial ... Google Cloud Platform: Proven track record deploying and managing services on GCP, specifically ...

Enterprise Architect (IT)

Houston, TX · On-site +1

$66 - $85/hr

  • Medical

  • Life

  • Retirement

  • PTO

Help build AI governance practices for responsible AI adoption, AI governance, and AI Risk ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Strong ...

Enterprise Architect (IT)

Houston, TX · On-site +1

$102K - $208K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Support architecture and AI governance through standards, principles, decision criteria, guardrails ... Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform. * Strong ...

Senior Software Engineer, Python

Houston, TX · On-site +1

$116K - $156K/yr

Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code ... Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud ...

Software Engineer

Houston, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience using AI-powered tools for development (Claude Code, Codex, Cursor) * Experience ... Location: Houston, Texas, remote with some in-person meetings * Employment Type: Full-time * ...

Showing results 41-60

Remote Google Ai information

See Spring, TX salary details

$13

$24

$33

How much do remote google ai jobs pay per hour?

As of Aug 18, 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 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 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 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:

Copy of CFD & Aerodynamic Engineer (AI Training & Evaluation)

Lifted, an Upwork Company™

Houston, TX • Remote

$80 - $110/hr

Contractor

Posted 20 days ago


Job description

Company Description

An enterprise client is seeking CFD & Aerodynamic Engineers to help train and evaluate next-generation AI systems by contributing real-world engineering expertise.

This opportunity is offered by a leading AI data platform that enables organizations to build intelligent applications powered by high-quality human expertise.

    Job Description

    This opportunity is ideal for experienced CFD and Aerodynamics Engineers who enjoy solving complex engineering problems and want to contribute their expertise to the development of advanced AI systems.

    What You'll Do:

    • Design compact, self-contained CFD and aerodynamics tasks that evaluate AI models' engineering reasoning.
    • Create clear and technically accurate problem statements covering topics such as boundary conditions, mesh quality, flow regimes, and simulation setup.
    • Develop deterministic scoring checkers that objectively evaluate AI-generated responses.
    • Produce verified reference solutions to ensure each task is technically accurate and fully solvable.
    • Review and refine engineering tasks to improve clarity, physical accuracy, and appropriate difficulty.
    • Apply real-world experience with OpenFOAM to develop practical and realistic engineering scenarios.
    • Work independently in a fully remote, asynchronous environment with complete scheduling flexibility.
    Qualifications

    Requirements:

    • Bachelor's degree (or higher) in Aerospace Engineering, Mechanical Engineering, or a closely related discipline.
    • Hands-on experience using OpenFOAM for computational fluid dynamics simulations.
    • Strong foundation in fluid mechanics, aerodynamics, and heat transfer principles.
    • Experience with:
      • Mesh generation
      • Turbulence modeling
      • Boundary condition specification
      • Post-processing and simulation analysis
    • Ability to write clear, precise, and objectively verifiable engineering problems.
    • Excellent written English communication skills with the ability to explain complex technical concepts clearly.
    • Self-motivated, detail-oriented, and able to work independently with minimal supervision.

    Nice to Haves:

    • Experience working on aerospace, automotive, motorsports, renewable energy, or industrial CFD applications.
    • Familiarity with advanced CFD validation and verification techniques.
    • Experience reviewing technical documentation or engineering research.
    • Previous experience contributing to AI, simulation, or data annotation projects.
    Additional Information
    • Fully remote, independent contractor opportunity.
    • Flexible schedule with an expected workload of 10-39 hours per week, depending on project demand.
    • Compensation ranges from $80-$110 USD per hour, based on qualifications and experience.
    • Payments are issued weekly for completed work from the previous week.
    • If selected, you will receive an Upwork contract offer along with onboarding instructions for the client's task platform.
    • To be considered, candidates must:
      • Submit an Upwork proposal.
      • Complete the required Google Form.
      • Accept the Upwork contract to receive onboarding instructions, assessment access, and project payments.
    • Due to the high volume of applicants, only shortlisted candidates will be contacted.