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Learning Intern Jobs in Berkeley, CA (NOW HIRING)

Neuralink

Neuroengineer Intern

South San Francisco, CA · On-site

$35/hr

As a Neuroengineer Intern on this team, you will contribute across a wide range of projects, from ... Build and iterate on advanced machine learning architectures to map neural activity to complex ...

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All JobsLearning Intern JobsLearning Intern Jobs in Berkeley, CA

Learning Intern information

See Berkeley, CA salary details

$10

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$29

How much do learning intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for learning intern in Berkeley, CA is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $23.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a learning intern?

To thrive as a Learning Intern, you need strong organizational skills, a willingness to learn, and a basic understanding of educational principles, often supported by ongoing studies in education or a related field. Familiarity with learning management systems (LMS), online collaboration tools, and basic office software is typically required. Strong communication, adaptability, and teamwork make a candidate stand out in this role. These skills and qualities are vital for effectively supporting educational programs and adapting to the dynamic needs of learners and educators.

What is a learning intern?

A Learning Intern is typically a student or recent graduate who works temporarily within an organization to gain practical experience in educational programs, training, or instructional support. Their responsibilities may include assisting with curriculum development, supporting classroom activities, conducting research, and helping with administrative tasks related to learning initiatives. The internship is designed to provide valuable insights into educational practices and help interns build relevant skills for future careers in education or training.

What types of projects or tasks can a learning intern expect to work on during their internship?

As a Learning Intern, you’ll typically be involved in supporting the development and delivery of training materials, assisting with e-learning modules, and helping coordinate workshops or webinars. You may also be tasked with evaluating training effectiveness through surveys or feedback, conducting research on learning best practices, and collaborating with instructional designers or trainers. This hands-on experience provides a comprehensive view of the learning and development process, and offers opportunities to build practical skills in content creation, project coordination, and stakeholder communication.

What is the difference between Learning Intern vs Training Coordinator?

AspectLearning InternTraining Coordinator
Required CredentialsTypically pursuing or recent graduate, some internships may require coursework in education or related fieldsUsually requires a degree in education, human resources, or related field; experience preferred
Work EnvironmentInternship setting, often in corporate training departments or educational institutionsOffice environment, managing training programs and coordinating sessions
Employer & Industry UsageCommon in corporate, nonprofit, and educational sectors for entry-level training supportUsed across industries to organize and oversee employee training initiatives

The Learning Intern role is typically an entry-level position aimed at gaining experience in training and education, often held by students or recent graduates. In contrast, the Training Coordinator manages and implements training programs, requiring more experience and responsibility. Both roles support employee development but differ in scope and experience level.

What are the most commonly searched types of Learning jobs in Berkeley, CA? The most popular types of Learning jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Learning Intern jobs? Cities near Berkeley, CA with the most Learning Intern job openings:
Learning Intern jobs near you

Machine Learning Intern

Droyd Robotics

San Francisco, CA • On-site

Internship

Re-posted 20 days ago

Job description

About the team
Droyd builds autonomous robotic systems that automate repetitive manual work in real environments. Our robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware.
Our AI team builds the models and inference systems that let robotic arms see, reason, and act. This work runs on deployed robots, not demos.
About the role
As a Machine Learning Intern at Droyd, you'll work directly on the learning and inference systems that power our robotic arms. You'll train models, run experiments, and help push research into production.
You'll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
This role is based in San Francisco, CA. We're an in-person company. We build faster that way.
In this role, you'll
  • Work across the ML stack, from training to inference
  • Train and evaluate models that run on low-payload robotic systems
  • Run experiments, analyze results, and document findings
  • Learn how model design, data quality, and hardware constraints affect real-world performance
  • Support deployment and testing of models on robotic hardware
We're looking for candidates who
  • Are current juniors or seniors (or equivalent) studying computer science, machine learning, AI, or a related field
  • Have coursework or hands-on experience training ML models using frameworks like PyTorch or JAX
  • Are willing to balance school and work in a fast-moving environment
  • Are curious about robotics and interested in how learning systems behave in the real world
  • Take ownership, ask good questions, and can carry projects forward with guidance
About Droyd
Droyd builds autonomous robotic systems to automate manual work for enterprises. We design the hardware, collect our own data, and train models that operate under real-world constraints.
If we do this right, robots become dependable tools people rely on every day.
Join us and help build systems that ship.

Apply