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Internship E Learning Developer Jobs in Berkeley, CA

Gritt

Robot Learning Engineer

South San Francisco, CA · On-site

Robot Learning Engineer Location: SF Bay Area (in-person) About the role We're looking for an ... Work with multimodal data (e.g. cameras, LIDAR, tactile). * Develop and improve real/sim data ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Cloud platforms (e.g., AWS, Azure, GCP) and HP computing * Containerization and orchestration ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Cloud platforms (e.g., AWS, Azure, GCP) and HP computing * Containerization and orchestration ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on ... Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow)

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Internship E Learning Developer information

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$48

How much do internship e learning developer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship e learning developer in Berkeley, CA is $28.03, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $29.71 per hour, depending on experience, location, and employer.

What does an internship e learning developer do?

An Internship E Learning Developer assists in creating, designing, and maintaining online educational content and courses. They work with subject matter experts, instructional designers, and multimedia teams to build interactive learning modules, quizzes, and other digital resources. Interns often use e-learning software, such as Articulate Storyline or Adobe Captivate, and help test courses for quality and usability. This role is ideal for those interested in educational technology, instructional design, and digital content creation.

What are the key skills and qualifications needed to thrive as an internship e learning developer, and why are they important?

To thrive as an Internship E Learning Developer, you need a foundational understanding of instructional design, e-learning principles, and proficiency in digital content creation, often supported by coursework in education or related fields. Familiarity with e-learning authoring tools like Articulate Storyline, Adobe Captivate, and Learning Management Systems (LMS) is typically required. Strong communication, creativity, and attention to detail set candidates apart in developing engaging and effective learning experiences. These skills and qualities are essential for designing interactive, learner-focused modules that meet educational objectives and organizational needs.

What are some typical projects or tasks an internship e learning developer might work on?

As an Internship E-Learning Developer, you'll often be involved in creating interactive online learning modules, assisting with multimedia content development (such as videos or quizzes), and helping to update or maintain existing e-learning platforms. You may also collaborate with instructional designers and subject matter experts to ensure course content is engaging and effective. This role provides hands-on experience with industry-standard authoring tools and learning management systems, making it a great starting point for a career in digital education.

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

AspectInternship E Learning DeveloperE Learning Specialist
Required CredentialsTypically pursuing or recent graduate in education, instructional design, or related fieldBachelor's or master's in instructional design, education technology, or related field
Work EnvironmentInternship setting, often in educational or corporate training departmentsFull-time professional role in corporate, educational, or training organizations
Employer & Industry UsageUsed in educational institutions, e-learning companies, and corporate training programsCommon in corporate, higher education, and e-learning service providers

The main difference is that an Internship E Learning Developer is an entry-level, temporary position aimed at gaining experience, while an E Learning Specialist is a full-time professional responsible for designing, developing, and managing e-learning content and programs.

What are popular job titles related to Internship E Learning Developer jobs in Berkeley, CA?

For Internship E Learning Developer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Internship E Learning Developer jobs in Berkeley, CA look for?

The top searched job categories for Internship E Learning Developer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Internship E Learning Developer jobs?

Cities near Berkeley, CA with the most Internship E Learning Developer job openings:

Internship E Learning Developer jobs near you

Robot Learning Engineer

Gritt

South San Francisco, CA • On-site

Full-time

Re-posted yesterday

Job description

Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Robot Learning Engineer
Location: SF Bay Area (in-person)
About the role
We're looking for an experienced Robot Learning Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in dynamic outdoor environments. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying physical AI systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.
What you'll get to work on
  • Develop and deploy state-of-the-art physical AI models for challenging manipulation and navigation problems.
  • Help drive our technical approach, with particular focus on real-world deployments.
  • Research and develop techniques around RL, imitation learning, video-action and world models to achieve robust generalization across tasks and environments.
  • Build approaches for pre/post training of large robotics models.
  • Work with multimodal data (e.g. cameras, LIDAR, tactile).
  • Develop and improve real/sim data pipelines, training and validation infrastructure.
  • Collaborate with other teams in the company.

What we look for
  • M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
  • 4+ years of hands-on experience developing AI-driven solutions for robotics applications like manipulation and navigation.
  • Extensive experience in computer vision, machine learning, reinforcement learning or other relevant areas of AI (as evidenced by industry experience or publication record).
  • Experience with approaches like VLAs, deep RL, imitation learning, diffusion, world models.
  • Extensive experience with Python and common frameworks like PyTorch.
  • Should be comfortable taking ownership of tasks with light supervision.
  • Must have excellent problem-solving skills.
  • Legally authorized to work in the United States.

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