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Remote Google Quantum Ai Jobs (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Houston, TX · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

YO AI Labs

AI/ML Engineer - Remote

Chicago, IL · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

IonQ

Senior Sales Executive - Quantum Security - SLED

$109K - $163K/yr

This position can work onsite or hybrid from one of our offices or fully remote in the US. Travel ... Experience in quantum computing, AI, security, or emerging technologies * Familiarity with post ...

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Remote Google Quantum Ai information

What is a remote Google Quantum AI?

A Remote Google Quantum AI job involves working on quantum computing research, development, and applications for Google’s Quantum AI team, but from a remote location rather than on-site. Professionals in these roles may focus on quantum algorithms, error correction, hardware, software development, or advancing real-world applications of quantum computing. These positions typically require strong backgrounds in physics, computer science, mathematics, or engineering, as well as experience with quantum technologies and programming languages like Python or C++. Working remotely allows for flexibility while collaborating with Google’s global teams to push the boundaries of quantum research and technology.

What are the key skills and qualifications needed to thrive as a remote Google Quantum AI specialist?

To thrive as a Remote Google Quantum AI specialist, you need a strong background in quantum computing, computer science, and mathematics, typically with an advanced degree (Master’s or PhD) in a related field. Proficiency with quantum programming languages (such as Qiskit or Cirq), cloud computing platforms, and familiarity with machine learning frameworks are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills set candidates apart, especially in remote, collaborative environments. These skills and qualities are crucial for advancing cutting-edge research, developing innovative solutions, and contributing to high-impact projects within a distributed team.

What are some common challenges faced by professionals working remotely on Google Quantum AI projects, and how can they be addressed?

Working remotely on Google Quantum AI projects often involves navigating complex technical problems while collaborating across different time zones and disciplines. Communication can be more challenging compared to in-person teams, making it essential to use clear documentation and regular virtual meetings. Additionally, staying updated on rapidly evolving quantum computing research requires self-motivation and proactive engagement with internal and external knowledge-sharing platforms. Building strong relationships with team members through consistent communication and leveraging available support resources can help overcome these challenges and contribute to project success.

What is the difference between Remote Google Quantum Ai vs Remote Quantum Software Engineer?

AspectRemote Google Quantum AiRemote Quantum Software Engineer
Required CredentialsAdvanced degrees in quantum computing, physics, or related fields; experience with quantum algorithmsDegree in computer science, physics, or engineering; programming skills in Python, C++, or similar
Work EnvironmentResearch-focused, collaborative teams within tech companies or research institutionsDevelopment and implementation of quantum algorithms, often in tech or research labs
Employer & Industry UsagePrimarily in tech giants like Google, research labs, and academiaTech companies, startups, and research institutions working on quantum computing

Remote Google Quantum Ai roles focus on advancing quantum AI research within Google, requiring specialized knowledge in quantum algorithms and physics. Remote Quantum Software Engineers develop quantum algorithms and software, often with similar technical credentials but with a broader industry application. Both roles demand strong programming skills and a background in quantum computing, but their primary focus and work environment differ slightly.

More about Remote Google Quantum Ai jobs

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Cities with the most Remote Google Quantum Ai job openings:

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The most popular types of Google Quantum Ai jobs are:

What states have the most Remote Google Quantum Ai jobs?

States with the most job openings for Remote Google Quantum Ai jobs include:

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The top searched job categories for Remote Google Quantum Ai jobs are:

Remote Google Quantum Ai jobs near you
Infographic showing various Remote Google Quantum Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI/ML Engineer - Remote

YO AI Labs

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 7 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.