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Internship E Learning Developer Jobs in Houston, TX

Bot Auto

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping ...

Bot Auto

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle ... Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping ...

Dashiell

Learning and Development Manager

Houston, TX · On-site

... e-learning formats. * Build and manage Dashiell's leadership development programming, equipping managers and emerging leaders with the skills needed to lead effectively in a growing, complex ...

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All JobsE Learning Developer JobsInternship E Learning Developer JobsInternship E Learning Developer Jobs in Houston, TX

Internship E Learning Developer information

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

As of Aug 1, 2026, the average hourly pay for internship e learning developer in Houston, TX is $21.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $23.17 per hour, depending on experience, location, and employer.

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 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 popular job titles related to Internship E Learning Developer jobs in Houston, TX? For Internship E Learning Developer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Internship E Learning Developer jobs in Houston, TX look for? The top searched job categories for Internship E Learning Developer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Internship E Learning Developer jobs? Cities near Houston, TX with the most Internship E Learning Developer job openings:
Internship E Learning Developer jobs near you
Infographic showing various Internship E Learning Developer job openings in Houston, TX as of July 2026, with employment types broken down into 25% Internship, 50% Full Time, 18% Part Time, and 7% Temporary. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $45,476 per year, or $21.9 per hour.

Intern, Deep Learning Engineer

Bot Auto

Houston, TX

$14.25 - $19/hr

Other

Posted 29 days ago

Job description

About Bot Auto 

Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle real-world edge cases.

Key Responsibilities
  • SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model).
  • Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship.
  • Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets.
Qualifications

Required:

  • Education: Current Master's or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields. 
  • Technical Stack: Proficient in Python and PyTorch with clean coding practices.
  • Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields.
  • Commitment: Available full-time for at least 3 months.

Preferred:

  • Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving.
  • Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA).
  • Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

Apply