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Remote E Learning Jobs in Reno, NV (NOW HIRING)

Equivity, Inc.

Clio Legal Assistant

Reno, NV · On-site +1

$23/hr

If you're a legal assistant who appreciates autonomy, remote flexibility, and the opportunity to ... Comfort learning new technology and improving existing processes * Proficiency with Microsoft ...

Lochner

E. within the first year. * Strong analytical, organizational, and communication skills ... remote opportunities where business needs allow • Life insurance and disability coverage ...

Workiva

Spring 2027 Intern - Marketing (MBA)

Sparks, NV · On-site +1

$35/hr

Be proficient in Microsoft Office suite (e.g., Excel, Word, PowerPoint) or similar applications ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

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All JobsE Learning JobsRemote E Learning JobsRemote E Learning Jobs in Reno, NV

Remote E Learning information

See Reno, NV salary details

$11K

$83.6K

$139.6K

How much do remote e learning jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote e learning in Reno, NV is $83,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a remote e learning?

A Remote E Learning job involves working online to create, manage, or support digital education programs. This can include roles such as instructional design, e-learning development, online teaching, or learning management system (LMS) administration. These jobs allow professionals to develop and deliver educational content without being physically present in a classroom. Many remote e-learning jobs require expertise in digital education tools, online course creation, and virtual communication.

What are some common challenges faced when working in remote e learning?

One common challenge in Remote E Learning roles is maintaining high levels of engagement and interaction with students who may be geographically dispersed and have varying levels of digital literacy. Adapting course materials and delivery methods to suit a wide range of learning styles can also be demanding, as is troubleshooting technical issues in real time. Collaborating with instructional designers, subject matter experts, and technical support teams usually happens virtually, requiring proactive communication and strong organization skills. However, with effective digital tools and a learner-centered mindset, many professionals find these challenges rewarding opportunities for creativity and innovation.

What are the key skills and qualifications needed to thrive in remote e learning, and why are they important?

To excel in Remote E Learning roles, you need expertise in instructional design, digital pedagogy, and often a background in education or a related field. Familiarity with Learning Management Systems (LMS) like Moodle or Canvas, e-learning authoring tools such as Articulate or Captivate, and sometimes certifications in online teaching or instructional technology are highly valued. Strong communication, time management, and creative problem-solving are vital soft skills for engaging remote learners and collaborating with virtual teams. These abilities ensure effective curriculum delivery, learner engagement, and smooth project execution in a fully remote environment.

What are popular job titles related to Remote E Learning jobs in Reno, NV?

For Remote E Learning jobs in Reno, NV, the most frequently searched job titles are:

What job categories do people searching Remote E Learning jobs in Reno, NV look for?

The top searched job categories for Remote E Learning jobs in Reno, NV are:

Remote E Learning jobs near you
Infographic showing various Remote E Learning job openings in Reno, NV as of September 2026, with employment types broken down into 61% Full Time, 30% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,640 per year, or $40.2 per hour.

Research Intern on Generative and Protective AI for Content Creation

Sparks, NV • On-site, Remote

Sony
Appliances and Electrical and Electronics Wholesalers • 10K+ employees
Learn more about Sonyexternal

$50/hr

Full-time

Re-posted 10 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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