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Remote Google Gemini Jobs (NOW HIRING)

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into ...

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into ...

Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team ... Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into ...

AI Builder (US, Remote)

$100K - $120K/yr

... Google Gemini, or open-source models - with at least one deployed example you can speak to ... Fully remote work environment * Opportunity to build, grow, and become highly instrumental in ...

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How much do remote google gemini jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote google gemini 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 a Remote Google Gemini role?

A Remote Google Gemini role typically refers to a position where an employee works from a location outside of a traditional office, focusing on projects that use Google Gemini, which is Google’s family of advanced AI models. These roles can include tasks such as developing AI-driven applications, integrating Gemini APIs, or supporting businesses in leveraging Gemini’s capabilities for search, content creation, and data analysis. Working remotely allows professionals to collaborate with global teams, access cutting-edge technology, and contribute to innovative AI solutions from anywhere in the world.

How does a Remote Google Gemini specialist typically collaborate with cross-functional teams while working remotely?

As a Remote Google Gemini specialist, you will regularly collaborate with teams such as product management, engineering, and marketing through virtual meetings, shared documentation, and project management tools. Effective communication and proactive engagement are essential to ensure that campaign objectives are aligned and any issues are addressed promptly. You'll often participate in video calls, contribute to collaborative platforms, and provide updates on analytics and strategy. Being comfortable with remote work technologies and maintaining clear, consistent communication helps foster strong teamwork despite physical distance.

What is the difference between Remote Google Gemini vs Remote Data Analyst?

AspectRemote Google GeminiRemote Data Analyst
Required CredentialsGoogle certifications, technical skills in AI/MLBachelor's in Data Science, statistics, or related field
Work EnvironmentRemote, collaborative with AI/ML teamsRemote, analytical with data teams
Industry UsageTech, AI, Machine LearningBusiness, finance, healthcare, tech
Common Search/ComparisonYesYes

Remote Google Gemini focuses on AI and machine learning projects within tech companies, requiring specialized certifications. Remote Data Analysts analyze data to inform business decisions, often with a background in statistics. Both roles are remote and industry-relevant, but they differ in technical focus and required credentials.

What are the key skills and qualifications needed to thrive as a Remote Google Gemini Specialist, and why are they important?

To thrive as a Remote Google Gemini Specialist, you need strong expertise in digital advertising, data analysis, and campaign management, typically supported by experience in search and display marketing. Familiarity with Google Ads, Gemini platform tools, and relevant certifications such as Google Ads Certification are highly beneficial. Excellent communication, problem-solving, and self-management skills help you collaborate virtually and adapt to evolving client needs. These skills ensure effective campaign execution, measurable results, and seamless client interactions in a remote work environment.
What cities are hiring for Remote Google Gemini jobs? Cities with the most Remote Google Gemini job openings:
What are the most commonly searched types of Google Gemini jobs? The most popular types of Google Gemini jobs are:
What states have the most Remote Google Gemini jobs? States with the most job openings for Remote Google Gemini jobs include:

Agentic AI Engineer

GeoDelphi

San Francisco, CA • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


Job description

Agentic AI Engineer

Location: Remote / Alexandria, VA

Clearance: Eligibility to be cleared

Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before.

We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text - they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security.

 At Whitespace, we are redefining national security by pushing the limits of what is possible-leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you!

This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications.

Requirements

RESPONSIBILITIES

  • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications.
  • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses.
  • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions.
  • Mentor and guide engineering teams on best practices in developing agent-based AI solutions.
  • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace's ecosystem.
  • Drive technical excellence and promote engineering best practices within the AI team.

EXPERIENCE

  • A bachelor's or master's degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree.
  • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch.
  • Deep understanding of agent frameworks and tools (e.g., OpenAI Agents SDK, autogen, Google ADK/A2A, LangGraph, etc.).
  • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents.
  • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems.
  • Demonstrated ability to design scalable, distributed systems and cloud-native architectures.
  • Extensive experience in prompt engineering and fine tuning LLM models
  • Ability to design and implement agentic frameworks and architectures.
  • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.)
  • Familiarity with MLOps principles and tools for model deployment and monitoring
  • Understanding of the security implications and mitigation strategies for generative AI and agentic systems.
  • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams.
  • Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders.

DESIRED SKILLS

  • Familiarity with Cloud Computing Platforms
  • Experience in Deploying AI models at scale in high-throughput, low-latency environments.

Benefits

GEODELPHI BENEFITS

  • Medical, Dental, and Vision plans
  • Unlimited PTO
  • Federal Holiday Paid Leave
  • 12 weeks of paid Parental Leave
  • Employer paid STD/LTD
  • Employer Paid Life Insurance
  • 401K plan and Employer Match
  • Professional Development Assistance
  • Equity Incentive Plan

 Who we are:

GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: http://www.inthewhitespace.com.

GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.