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Remote Google Artificial Intelligence Jobs (NOW HIRING)

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Remote Google Artificial Intelligence information

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How much do remote google artificial intelligence jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote google artificial intelligence in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a remote Google artificial intelligence job?

Remote Google Artificial Intelligence jobs refer to roles at Google that focus on developing, implementing, or supporting AI technologies and can be performed from a remote location instead of a traditional office. These roles may include positions such as AI research scientist, machine learning engineer, data scientist, or AI product manager, all involved in advancing Google's artificial intelligence initiatives. Employees use cutting-edge tools and collaborate virtually with teams to solve complex problems, build AI models, and contribute to products like Google Search, Assistant, and Cloud AI services.

What are the key skills and qualifications needed to thrive as a remote Google artificial intelligence engineer?

To thrive as a Remote Google Artificial Intelligence Engineer, you need a strong background in computer science, machine learning, and data analysis, typically supported by a relevant degree and experience in AI development. Proficiency with programming languages like Python, TensorFlow, PyTorch, and experience with cloud platforms such as Google Cloud AI tools are essential. Strong problem-solving skills, effective communication, and the ability to collaborate remotely distinguish top performers in this role. These skills are crucial for developing scalable AI solutions, staying current with emerging technologies, and contributing effectively within distributed teams.

How does a remote Google artificial intelligence professional typically collaborate with global teams to deliver projects?

As a Remote Google Artificial Intelligence professional, you will frequently collaborate with cross-functional teams located around the world, including data scientists, product managers, and software engineers. Communication is primarily conducted through virtual meetings, cloud-based project management tools, and collaborative coding platforms. Maintaining clear documentation and proactive communication is essential to ensure alignment and progress. You’ll often contribute to brainstorming sessions, code reviews, and project updates, making strong remote collaboration skills vital for success in this role.

What is the difference between Remote Google Artificial Intelligence vs Remote Machine Learning Engineer?

AspectRemote Google Artificial IntelligenceRemote Machine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; experience with AI frameworksDegree in Computer Science, Data Science, or related; proficiency in ML algorithms
Work EnvironmentCollaborates with AI research teams at Google or similar tech companiesDevelops and deploys ML models in various industries, often in tech or finance
Employer & Industry UsagePrimarily in large tech firms like Google, focusing on AI research and developmentAcross industries such as tech, finance, healthcare, focusing on ML model implementation

Remote Google Artificial Intelligence specialists focus on advanced AI research and development within large tech companies, often requiring deep theoretical knowledge. Remote Machine Learning Engineers implement ML models across diverse industries, emphasizing practical deployment. While both roles require strong technical skills, AI roles tend to be more research-oriented, whereas ML engineering is more application-focused.

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The most popular types of Google Artificial Intelligence jobs are:

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Infographic showing various Remote Google Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Artificial Intelligence Engineer

MKS2 Technologies

Washington, DC • Remote

$180K - $210K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.


Artificial Intelligence Engineer (Key Personnel)

Location: Remote (Supporting Eastern Time Zone)
Employment Type: Full-Time
Security Requirement: Tier 4 / High Risk Background Investigation
Travel: Approximately two trips per year (seven trips over the life of the contract)

Salary Range: $180,000-$210,000

Position Overview

MKS2 is seeking an experienced Artificial Intelligence Engineer (Key Personnel) to support the development, implementation, and optimization of advanced AI and machine learning solutions for a federal government program. This role will serve as a technical leader responsible for designing, building, training, deploying, and maintaining AI-driven systems that address complex business and mission requirements. The ideal candidate will possess deep expertise in artificial intelligence, machine learning, data science, software engineering, and cloud-based technologies within large enterprise or government environments.

The Artificial Intelligence Engineer will collaborate closely with data scientists, software engineers, cybersecurity professionals, stakeholders, and government leadership to develop innovative solutions that drive operational efficiency, decision-making, and mission outcomes.

Key Responsibilities
  • Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions.
  • Lead the creation of predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms.
  • Develop and implement machine learning algorithms and model architectures for real-world business challenges.
  • Build and optimize data pipelines, feature engineering processes, and model training environments.
  • Evaluate emerging AI technologies and recommend innovative solutions to enhance mission performance.
  • Ensure AI solutions align with security, privacy, compliance, and governance requirements.
  • Collaborate with cross-functional teams including software developers, cybersecurity specialists, data engineers, and business stakeholders.
  • Support cloud-based AI deployments and model operationalization activities.
  • Conduct model validation, performance monitoring, and continuous improvement initiatives.
  • Provide technical guidance, mentorship, and thought leadership on AI strategies and capabilities.
  • Develop technical documentation, architecture diagrams, implementation plans, and executive briefings.
  • Participate in program reviews, stakeholder meetings, and technical working groups.
Required Experience
  • Minimum of 10 years of experience in information technology security, data science, software engineering, or related technical disciplines.
  • At least 5 years of experience designing, developing, or deploying artificial intelligence or machine learning systems within enterprise or government environments.
  • Experience delivering AI-enabled solutions for large organizations or federal agencies similar in size and complexity to the Department of Veterans Affairs (VA), Department of Defense (DoD), Internal Revenue Service (IRS), or General Services Administration (GSA).
  • Demonstrated experience implementing AI and machine learning solutions in production environments.

Substitution:

  • A PhD in Information Technology Security, Data Science, Software Engineering, or a related discipline may substitute for up to five years of the required experience.
Required Education

Master's degree in one of the following disciplines:

  • Artificial Intelligence
  • Business Administration
  • Business Management
  • Cybersecurity
  • Computer Science
  • Information Systems
  • Information Assurance
  • Information Security
  • Information Resource Management
  • Related field
Required Certifications

Must possess one or more of the following:

  • Information Assurance Technician (IAT) Level III
  • Information Assurance Management (IAM) Level III
  • Information Assurance System Architect and Engineer (IASAE) Level III
Required Expertise
  • Extensive experience working on data science, machine learning, and artificial intelligence projects.
  • Experience building, training, testing, and deploying machine learning models in production environments.
  • Expertise collaborating with multidisciplinary teams including data scientists, software engineers, architects, cybersecurity personnel, and business stakeholders.
  • Strong understanding of data preparation, data quality, cleansing, transformation, and feature engineering techniques.
  • Experience applying AI technologies to complex business and mission challenges.
  • Knowledge of responsible AI principles, model governance, security considerations, and ethical AI practices.
  • Experience supporting federal government organizations or large enterprise environments.
  • Hands-on experience with AI frameworks, machine learning libraries, and cloud-based AI services.
  • Strong analytical, problem-solving, and communication skills.
Security Requirement
  • Must be able to successfully complete and maintain a Tier 4 / High Risk Background Investigation.
Place of Performance
  • Remote position supporting Eastern Time Zone operations.
  • Meetings and coordination activities may occur at the Department of Veterans Affairs Central Office (VACO), 811 Vermont Avenue NW, Washington, DC.
  • Routine onsite support is not anticipated.
Hours of Operation
  • Available during standard Federal Government business days.
  • Must be responsive during core business hours of 8:00 AM to 5:00 PM Eastern Time.
Travel Requirements
  • Support program-related meetings and events as required.
  • Government anticipates approximately two trips per year, totaling seven trips across the contract period.
Why Join MKS2?

At MKS2, we partner with federal agencies to deliver innovative technology solutions that improve mission outcomes and enhance operational effectiveness. Our team is committed to excellence, collaboration, and continuous innovation while supporting some of the nation's most important programs. This role offers the opportunity to help shape the future of artificial intelligence within the federal government sector while working in a highly collaborative and mission-driven environment.


Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.