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E Learning Developer Jobs in Spring, TX (NOW HIRING)

Algorithm Engineer, Reinforcement Learning

Houston, TX ยท On-site

$56 - $77/hr

Role Overview We are seeking a ML/RL Engineer to join our Algo team and drive the development of ... Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real ...

Senior Delta V Engineer

Houston, TX ยท On-site

$99K - $137K/yr

We're one of the largest engineering and system integration firms in the United States providing ... Learning and growth are key parts of the E Tech culture. We provide you with training and ...

Showing results 41-60

E Learning Developer information

See Spring, TX salary details

$16

$34

$45

How much do e learning developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for e learning developer in Spring, TX is $34.21, according to ZipRecruiter salary data. Most workers in this role earn between $29.09 and $38.08 per hour, depending on experience, location, and employer.

What is an e learning developer?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

What are the key skills and qualifications needed to thrive as an e learning developer?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What does an e-learning developer do?

As an eLearning developer, you design and implement the structure of online courses using eLearning tools, such as instructional software and applications. You take the blueprint for the course, including content that has been created by an instructional developer, and design and code the lessons. Your duties and responsibilities are to make the lessons visually appealing and engaging while effectively conveying the lessons to students or users. As an eLearning developer, you may work for an education company or a company that designs instructional tools and solutions for employee training.

What are some common challenges e learning developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.

How much do eLearning developers make?

eLearning developers typically earn a median annual salary of around $65,000 to $85,000, depending on experience, location, and skill set. Professionals with expertise in instructional design, multimedia tools, and learning management systems may earn higher salaries, especially with certifications or advanced skills.

How to become an eLearning developer?

To become an eLearning developer, you typically need a bachelor's degree in education, instructional design, computer science, or a related field. Gaining skills in eLearning authoring tools like Articulate Storyline or Adobe Captivate, along with knowledge of multimedia development and learning theories, is essential. Building a portfolio of sample courses and obtaining certifications can also improve job prospects.

What does an eLearning developer do?

An eLearning developer designs, develops, and implements online training courses and educational content using authoring tools and learning management systems. They collaborate with subject matter experts, create interactive multimedia elements, and ensure the content is accessible and engaging for learners. Proficiency in instructional design, programming, and multimedia tools is often required for this role.

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What job categories do people searching E Learning Developer jobs in Spring, TX look for?

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What cities near Spring, TX are hiring for E Learning Developer jobs?

Cities near Spring, TX with the most E Learning Developer job openings:

Infographic showing various E Learning Developer job openings in Spring, TX as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $71,153 per year, or $34.2 per hour.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot Auto

Houston, TX โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
  • Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
  • Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
  • Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
  • Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow
This matters as much to us as what you'll ship.
  • You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
  • We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
Qualifications
Required:
  • Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
  • You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
  • Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
  • Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
  • Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
  • Computer vision. Research or projects in computer vision, and particularly in 3D.
  • Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
    • Computer Vision (2D or 3D)
    • Online Mapping, Vectorization, or Visual SLAM
    • Prediction and Behavioral Modeling
  • Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
  • Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
  • Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.