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Virtual Meta Ai Jobs (NOW HIRING)

The Reality Labs Marketing team drives adoration and everyday usage for Meta AI glasses and VR ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... to Meta's AI and infrastructure strategy. In this role, you will serve as the technical subject ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

The Reality Labs Marketing team drives adoration and everyday usage for Meta AI glasses and VR ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... and scaling of Meta's AI network infrastructure. Network Engineer, Optical Deployment ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... large-scale AI systems across Meta's product ecosystem. In this role, you will work at the ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... large-scale AI systems across Meta's product ecosystem. In this role, you will work at the ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

With the continued importance of AI-enabling infrastructure, there is a corresponding shift in Meta ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... of Meta's AI goals and objectives and driving strategic sourcing decisions on a global basis ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... and scaling of Meta's AI network infrastructure. Network Engineer, Optical Deployment ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

... large-scale AI systems across Meta's product ecosystem. In this role, you will work at the ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

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Virtual Meta Ai information

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How much do virtual meta ai jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for virtual meta ai in the United States is $24.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $27.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Virtual AI Engineer at Meta, and why are they important?

To thrive as a Virtual AI Engineer at Meta, you need strong programming skills in languages like Python or C++, a solid understanding of machine learning algorithms, and a background in computer science or a related field. Familiarity with AI frameworks such as TensorFlow or PyTorch, experience with distributed computing, and sometimes certifications in AI or cloud platforms are valuable. Outstanding problem-solving ability, strong collaboration, and effective communication help you innovate and work well within cross-functional teams. These skills and qualities drive the development of reliable, high-impact AI solutions that are central to Meta's products and user experiences.

What is a Virtual Meta AI and what does it do?

A Virtual Meta AI refers to an artificial intelligence system that operates in virtual environments, often to manage, moderate, or enhance user experiences within digital spaces such as the metaverse. These AI can interact with users, automate tasks, facilitate virtual events, and provide support or information. They are designed to understand natural language, learn from interactions, and adapt to the needs of a virtual community or platform. Virtual Meta AI are increasingly used in gaming, virtual workplaces, and online social platforms to create more immersive and responsive digital experiences.

Does Meta give remote jobs?

Meta offers remote job opportunities across various roles, including positions related to virtual AI and technology development. Many remote jobs at Meta require strong technical skills, experience with collaboration tools, and adherence to company policies on remote work. Availability depends on the specific role and location requirements.

What is the easiest AI job to get?

Entry-level AI roles such as data annotation or labeling jobs are generally the easiest to obtain, often requiring minimal technical skills and offering on-the-job training. These positions typically involve labeling data for machine learning models and may require basic understanding of AI concepts and tools like annotation platforms.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes leadership responsibilities. These roles usually involve overseeing AI development, strategy, or innovation within organizations and may include bonuses or stock options that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

How much do Meta AI workers make?

Meta AI workers, including roles such as AI researchers and engineers, typically earn salaries ranging from $100,000 to over $200,000 annually, depending on experience and position. Compensation often includes benefits like stock options and bonuses, and roles may require expertise in machine learning, deep learning, or related fields.

What is the difference between Virtual Meta Ai vs Virtual Data Analyst?

AspectVirtual Meta AiVirtual Data Analyst
Required CredentialsAI certifications, programming skillsStatistics, data analysis certifications
Work EnvironmentRemote, AI-focused projectsRemote, data interpretation tasks
Employer & Industry UsageTech companies, AI startupsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Virtual Meta Ai primarily involves developing and managing AI models, requiring programming and AI certifications. In contrast, Virtual Data Analysts focus on interpreting data to inform business decisions, often with statistics and data analysis credentials. Both roles are remote and widely used across tech and business industries, but they serve different functions within data and AI ecosystems.

How does a Virtual AI Specialist typically collaborate with cross-functional teams to implement AI solutions?

Virtual AI Specialists often work closely with software engineers, data scientists, and project managers to design, develop, and deploy AI-driven applications. Collaboration usually involves participating in virtual meetings, sharing progress updates, and integrating feedback from different departments to refine models and algorithms. Effective communication and documentation are essential, as team members may be in various locations and time zones. This collaborative structure fosters innovation and ensures that AI solutions align with business objectives and user needs.
More about Virtual Meta Ai jobs
What cities are hiring for Virtual Meta Ai jobs? Cities with the most Virtual Meta Ai job openings:
What are the most commonly searched types of Meta Ai jobs? The most popular types of Meta Ai jobs are:
What states have the most Virtual Meta Ai jobs? States with the most job openings for Virtual Meta Ai jobs include:
Infographic showing various Virtual Meta Ai job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 96% Full Time, and 3% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $50,749 per year, or $24.4 per hour.
Network Engineer, Optical Deployment

Network Engineer, Optical Deployment

Meta

Menlo Park, CA

$162K/yr

Full-time

Posted 22 days ago


Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

123rd of 191 rated software companies


Job description

Meta is looking for an Optical Network Deployment & Support Engineering Lead to join the team responsible for planning and executing network deployments to build the world's largest AI backbone network. In this role, you will have a unique opportunity to work on cutting edge Optical and IP networking technologies owning the deployment planning, implementation, and scaling of Meta's AI network infrastructure.
Network Engineer, Optical Deployment Responsibilities:
  • Lead the technical strategy, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals
  • Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs at the experienced engineer level, demonstrating domain expertise and technical impact
  • Drive strategic planning by building and executing six-month to multi-year roadmaps that support business growth and transformation. Balance high-level strategic approach with hands-on leadership to deliver results across a broad portfolio of initiatives
  • Ensure high standards for reliability, scalability, and performance in all deliverables, driving continuous improvement in engineering processes and technical quality
  • Collaborate cross-functionally across Network Engineering, Data Center, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery
  • Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure
  • Manage key vendor relationships including contract negotiations, pricing, and evaluation of current and potential partnerships
  • Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community
  • Demonstrate leadership behaviors by helping others, showing respect, connecting people, and driving collaboration within the team and organization
  • 10% to 30% of travel

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments
  • 5+ years experience working in Optical Network Engineering
  • Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms
  • Knowledge of data center design and operational best practices
  • Proven experience leading and executing network deployment and migration projects
  • Experience interacting with vendors and external parties to drive projects to completion

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows
  • Experience in data center, edge, or large-scale network environments
  • High proficiency in automation (Python, Go, etc.) and network configuration management tooling

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$162,000/year to $227,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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