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Internship Remote E Learning Developer information

What is the difference between Internship Remote E Learning Developer vs E Learning Specialist?

AspectInternship Remote E Learning DeveloperE Learning Specialist
CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldsBachelor's or master's in education, instructional design, or related areas; certifications like CPT or CPLP are common
Work EnvironmentRemote internship, often part-time, with mentorship and trainingFull-time or part-time remote or on-site roles in educational or corporate settings
Employer & IndustryEducational institutions, e-learning companies, corporate training providersEducational institutions, corporate training departments, e-learning content providers

The main difference is that an Internship Remote E Learning Developer is an entry-level, temporary position focused on gaining practical experience, while an E Learning Specialist is a more experienced, often full-time role responsible for designing and implementing e-learning content. Internships serve as a stepping stone into the industry, whereas specialists have established expertise and responsibilities.

How to become an internship remote e learning developer?

To become a remote e-learning developer internship, candidates typically need a background in instructional design, educational technology, or related fields, along with skills in e-learning authoring tools like Articulate or Adobe Captivate. Gaining experience through online courses, building a portfolio of sample projects, and demonstrating strong communication and technical skills are important steps. Familiarity with learning management systems (LMS) and remote collaboration tools can also enhance prospects for securing such internships.

What skills do you need to be an internship remote eLearning developer?

An internship remote eLearning developer should have strong skills in instructional design, familiarity with eLearning authoring tools like Articulate Storyline or Adobe Captivate, and basic knowledge of learning management systems. Good communication, self-motivation, and the ability to work independently are also important in a remote environment.
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Internship Remote E Learning Developer jobs near you

Research Intern on Generative and Protective AI for Content Creation

Sony

Hamden, CT • On-site, Remote

$50/hr

Full-time

Posted 9 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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