ZipRecruiter

Log In

1

Virtual Meta Ai Jobs (NOW HIRING)

Meta

Research Scientist, Advanced Control

Menlo Park, CA · On-site

$184K - $257K/yr

... that powers Meta's AI and products worldwide. The Physical Modeling team inside IDC develops ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

Meta

Product Manager, Meta Standalone Apps

Menlo Park, CA · On-site

$205K - $277K/yr

... AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) • Comfort ... Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual ...

next page

Showing results 1-20

All JobsMeta Ai JobsVirtual Meta Ai Jobs

Virtual Meta Ai information

See salary details

$11

$24

$33

How much do virtual meta ai jobs pay per hour?

As of Jul 13, 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.

Does Meta offer remote positions?

Meta offers remote positions across various roles, including those related to artificial intelligence and software development. Many remote opportunities require strong technical skills, experience with collaboration tools, and adherence to company policies on remote work.

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.

How much does Meta pay AI jobs?

Meta's AI-related roles typically offer salaries ranging from $100,000 to over $200,000 annually, depending on experience, location, and specific job responsibilities. Compensation may include bonuses, stock options, and benefits, with roles often requiring skills in machine learning, deep learning, or data analysis.

What's 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 flexible schedules. These positions involve tasks like reviewing and tagging data to help train AI models and typically require basic computer literacy and attention to detail.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as AI research directors, chief AI officers, or senior data scientists, often requiring advanced skills in machine learning, deep learning, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing or managing AI systems.

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:
What job categories do people searching Virtual Meta Ai jobs look for? The top searched job categories for Virtual Meta Ai jobs are:
Virtual Meta Ai jobs near you
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD)

Meta

New York, NY

Internship

Posted 15 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th of 209 rated software companies

Job description

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) Multimodal Foundations teams. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as Natural Language Processing, Audio and Speech processing, Computer Vision, Machine Learning, Deep Learning, and Reinforcement Learning. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: machine translation, speech translation, natural language understanding and generation, computer vision, language modeling, pretraining and post-training, low-resource NLP, question answering, dialogue, cross-lingual and cross-domain transfer learning, and multimodal understanding, reasoning and generation.Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://research.facebook.com.
Research Scientist Intern, FAIR - Language & Multimodal Foundations (PhD) Responsibilities:
  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Minimum Qualifications:
  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship/co-op

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.
$7,650/month to $12,134/month + 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.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply