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Entry Level Remote Network Engineer Jobs in Arizona

Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs ... network, etc.) * Communicating complex technical concepts to stakeholders with confidence and ...

... network infrastructure, healthcare and aerospace/defense. Visit www.qorvo.com to learn how our ... This is a remote position that we are open to considering candidates in the following states: AZ ...

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Entry Level Remote Network Engineer information

What is the difference between Entry Level Remote Network Engineer vs Network Support Specialist?

AspectEntry Level Remote Network EngineerNetwork Support Specialist
CertificationsCCNA, CompTIA Network+CompTIA Network+, Cisco certifications
Work EnvironmentRemote, technical troubleshooting, network designRemote or on-site, troubleshooting, user support
Industry UsageIT, telecommunications, enterprise networksIT support, service providers, corporate networks

Both roles often require similar certifications and work in remote environments, but the Entry Level Remote Network Engineer focuses more on network design and implementation, while the Network Support Specialist emphasizes troubleshooting and user support. The engineer role typically involves more technical planning, whereas the support role centers on resolving network issues for end-users.

What does an entry level remote network engineer do?

An Entry Level Remote Network Engineer supports the design, implementation, and maintenance of computer networks from a remote location. Their tasks often include monitoring network performance, troubleshooting connectivity issues, assisting with network configurations, and providing technical support. They work with both hardware (like routers and switches) and software to ensure that network systems are secure and functioning efficiently. This role is ideal for those starting their careers in IT and offers opportunities to learn and grow in network engineering.

What are the key skills and qualifications needed to thrive as an entry level remote network engineer?

To thrive as an Entry Level Remote Network Engineer, you need a solid understanding of networking fundamentals, TCP/IP protocols, and a relevant degree or certifications such as CompTIA Network+ or Cisco CCNA. Familiarity with network monitoring tools, basic configuration of routers and switches, and remote troubleshooting systems is typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for this role. These competencies ensure reliable network performance, efficient issue resolution, and clear collaboration with remote teams and clients.

What are some common challenges faced by entry level remote network engineers, and how can they overcome them?

Entry level remote network engineers often face challenges such as limited direct access to on-site hardware, troubleshooting issues remotely, and effectively communicating with team members across different locations. To overcome these obstacles, it's essential to develop strong documentation and remote diagnostic skills, utilize remote management tools, and proactively engage in regular communication with colleagues and mentors. Building a habit of asking clarifying questions and participating in virtual team meetings can also help bridge any gaps caused by the remote work environment.
What are the most commonly searched types of Remote Network Engineer jobs in Arizona? The most popular types of Remote Network Engineer jobs in Arizona are:
What job categories do people searching Entry Level Remote Network Engineer jobs in Arizona look for? The top searched job categories for Entry Level Remote Network Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Remote Network Engineer jobs? Cities in Arizona with the most Entry Level Remote Network Engineer job openings:
Infographic showing various Entry Level Remote Network Engineer job openings in Arizona as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Research Intern on Generative and Protective AI for Content Creation

Sony

Scottsdale, AZ • On-site, Remote

$50/hr

Full-time

Posted 6 days ago


Job description

Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony's new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony's other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/

Position Summary

Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide.

Responsibilities

As a research intern, you will investigate and apply novel algorithms related to:

  • The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
  • The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.

Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts.

Required Qualifications

  • Master's degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
  • Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
  • Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
  • Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
  • Excellent communication and presentation skills.

Preferred Qualifications

  • Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines.

Working Location

Location flexible (Tokyo, NYC, remote)

The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .

LI-AS1

All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.

Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.

We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.

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