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Machine Learning Teaching Assistant Jobs in Tempe, AZ

Great Hearts Academies

Teaching Assistants

Gilbert, AZ · On-site

$14 - $17.75/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Chandler, AZ · On-site

$13.75 - $17.50/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Scottsdale, AZ

$14 - $18/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Phoenix, AZ · On-site

$14 - $17.50/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Goodyear, AZ

$13.75 - $17.25/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Phoenix, AZ

$14 - $17.50/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

Great Hearts Academies

Teaching Assistants

Peoria, AZ

$13.75 - $17.50/hr

Assistant Teacher/Apprentice Teacher Location: Great Hearts Academies - Phoenix Valley Reports To ... Collaborate with teachers to support instruction, student learning, and daily classroom activities.

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All JobsMachine Learning Teaching JobsMachine Learning Teaching Assistant JobsMachine Learning Teaching Assistant Jobs in Tempe, AZ

Machine Learning Teaching Assistant information

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How much do machine learning teaching assistant jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for machine learning teaching assistant in Tempe, AZ is $17.29, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $18.41 per hour, depending on experience, location, and employer.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

What are the most commonly searched types of Machine Learning Teaching jobs in Tempe, AZ?

The most popular types of Machine Learning Teaching jobs in Tempe, AZ are:

What are popular job titles related to Machine Learning Teaching Assistant jobs in Tempe, AZ?

For Machine Learning Teaching Assistant jobs in Tempe, AZ, the most frequently searched job titles are:

What job categories do people searching Machine Learning Teaching Assistant jobs in Tempe, AZ look for?

The top searched job categories for Machine Learning Teaching Assistant jobs in Tempe, AZ are:

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant job openings in Tempe, AZ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $35,964 per year, or $17.3 per hour.

Senior / Staff Machine Learning Infrastructure Engineer

Waabi

Phoenix, AZ • On-site, Remote

$157K - $234K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 20 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will..
- Design, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
- Collaborate with data scientists and engineers to understand model requirements and optimize pipeline processes.
- Automate the training, testing and deployment processes for machine learning models.
- Continuously monitor and maintain model pipelines, ensuring optimal performance, accuracy and reliability.
- Optimize machine learning pipelines for scalability, efficiency and cost-effectiveness.
- Ensure compliance with security and data privacy standards in all MLOps activities.
 
Qualifications:
- 3-5 years of experience supporting machine learning training platforms.
- Bachelor’s degree in Computer Science, Data Science or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
- Experience managing technology such as JupyterHub and Kubeflow.
- Familiarity with containerization and orchestration tools such as Kubernetes and Docker.
- Strong problem-solving skills and ability to troubleshoot complex issues.
- Experience with monitoring tools and practices for model performance in production.
- Ability to work collaboratively in cross-functional teams.
 
Bonus/nice to have: 
- Experience with infrastructure-as-code (IaC) tools such as Terraform or Crossplane.
- Knowledge of big data technologies like Apache Spark or Hadoop.
- Familiarity with data engineering practices and tools.
- Experience with A/B testing and model validation in production environments.
- Relevant MLOps certifications (e.g., AWS Certified Machine Learning – Specialty, DataRobot MLOps Certification) are a plus.
The US yearly salary range for this role is: $157,000 - $234,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations.  Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.

Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.