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Participate Learning Jobs in Houston, TX (NOW HIRING)

Preschool Teacher II

TX · On-site

$10 - $14/hr

Tuition assistance Preschool Teacher Job Type: Full-time At The Learning Experience , "happy ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Lead Toddler Teacher

TX · On-site

$10 - $14/hr

Tuition assistance About Us At The Learning Experience, "happy happens here" is more than just a ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Pre School Teacher

TX · On-site

$10 - $14/hr

Tuition assistance Preschool Teacher Job Type: Full-time At The Learning Experience , "happy ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Preschool Teacher III

TX · On-site

$12 - $16/hr

Tuition assistance Preschool Teacher Job Type: Full-time At The Learning Experience , "happy ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Preschool Teacher

TX · On-site

$10 - $14/hr

Tuition assistance Preschool Teacher Job Type: Full-time At The Learning Experience , "happy ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Lead Toddler Teacher II

TX · On-site

$10 - $14/hr

Tuition assistance About Us At The Learning Experience, "happy happens here" is more than just a ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Toddler Teacher

TX · On-site

$11 - $14/hr

Training & development About Us At The Learning Experience, "happy happens here" is more than just ... Participate in staff meetings, professional development sessions, and curriculum planning ...

Behavior Technician The Learning Lane | Spring & The Woodlands, TX Take the next step in growing ... Participate in team meetings, trainings, and staff development activities * Support newly hired ...

Showing results 21-40

Participate Learning information

See Houston, TX salary details

$10.5K

$80.1K

$133.6K

How much do participate learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for participate learning in Houston, TX is $80,071.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,700.00 and $132,700.00 per year, depending on experience, location, and employer.

What is Participate Learning?

Participate Learning is an educational organization that partners with schools and districts to provide global education programs, including international teacher exchange, dual language immersion, and global leadership development. Their primary focus is to bring experienced international educators into U.S. classrooms to promote cultural exchange and global awareness among students. Participate Learning supports teachers through professional development, resources, and a supportive community, aiming to enrich education by fostering cross-cultural understanding.

What are the main responsibilities and collaborative aspects of working as a teacher with Participate Learning's global education programs?

As a teacher with Participate Learning, you will typically be responsible for delivering curriculum content while incorporating global perspectives and cultural exchange in the classroom. The role involves close collaboration with local teaching staff, school administrators, and fellow international educators to enrich students’ learning experiences. Teachers are also expected to contribute to school community activities and professional development sessions, fostering a supportive environment for both students and colleagues. This collaborative and multicultural setting offers opportunities to develop new teaching strategies, gain international experience, and advance your career in global education.

What are the key skills and qualifications needed to thrive as a teacher with Participate Learning, and why are they important?

To thrive as a teacher with Participate Learning, you need a teaching degree, state certification, and a strong understanding of curriculum development and classroom management. Familiarity with digital learning platforms, educational technology, and assessment tools is typically required. Cultural adaptability, strong communication, and collaboration skills help teachers engage diverse student populations and work effectively in international settings. These abilities are crucial for fostering a positive learning environment and achieving educational outcomes in globally-minded classrooms.

What is the difference between Participate Learning vs ESL Teacher?

AspectParticipate LearningESL Teacher
CredentialsTeaching certification, TESOL/TEFLTeaching certification, TESOL/TEFL
Work EnvironmentInternational schools, cultural exchange programsLanguage schools, public/private schools, online platforms
Industry UsageGlobal education programs, cultural immersionLanguage instruction, ESL programs

Participate Learning and ESL Teachers both require teaching certifications and often work in educational settings focused on language and cultural exchange. While Participate Learning emphasizes international programs and cultural immersion, ESL Teachers primarily focus on language instruction within local or online classrooms. Both roles serve the education industry but differ in scope and environment.

What are popular job titles related to Participate Learning jobs in Houston, TX?

For Participate Learning jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Participate Learning jobs in Houston, TX look for?

The top searched job categories for Participate Learning jobs in Houston, TX are:

What cities near Houston, TX are hiring for Participate Learning jobs?

Cities near Houston, TX with the most Participate Learning job openings:

Infographic showing various Participate Learning job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 21% Part Time, and 1% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $80,071 per year, or $38.5 per hour.

Algorithm Engineer, Deep Learning & Vision (New Grad)

Socket.dev

Houston, TX • On-site

$130 - $170/hr

Other

Posted 4 days ago


Key responsibilities

  • Participate in the development, training, and optimization of deep learning models for autonomous driving, including perception, online mapping, and planning.

  • Engage in the entire machine learning workflow, from data curation and analysis to model experimentation, hyperparameter tuning, and performance verification.

  • Collaborate with simulation, infrastructure, and planning/control teams to deploy, evaluate, and integrate machine learning components into the autonomous trucks' production pipeline.


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.
QualificationsRequired:
  • 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.
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