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Online Python Trainer Jobs in Arizona (NOW HIRING)

... training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large ... online inference. - Proficient in Python with a track record of writing high-quality, well ...

... training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large ... online inference. - Proficient in Python with a track record of writing high-quality, well ...

Manager, AI Audit Innovation

Scottsdale, AZ

$104.80K - $137.50K/yr

We help merchants and consumers connect, transact, and complete payments, whether they are online ... Advancedproficiencyin Python and SQL * Experience implementing CI/CD, containerization ...

Proficiency in at least one scripting language such as PowerShell, Bash, or Python * Understanding ... Valuable on-the-job training * Tuition reimbursement program * Free online courses for personal and ...

Proficiency in at least one scripting language such as PowerShell, Bash, or Python * Understanding ... Valuable on-the-job training * Tuition reimbursement program * Free online courses for personal and ...

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Online Python Trainer information

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How much do online python trainer jobs pay per hour?

As of May 30, 2026, the average hourly pay for online python trainer in Arizona is $54.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.05 and $62.07 per hour, depending on experience, location, and employer.

What is an Online Python Trainer job?

An Online Python Trainer is responsible for teaching Python programming to learners via virtual platforms. They design course materials, conduct live or recorded sessions, and assist students in understanding Python concepts. Trainers may work for educational institutions, training companies, or as independent instructors. Their role includes providing coding exercises, debugging help, and ensuring students gain practical experience.

What are the key skills and qualifications needed to thrive in the Online Python Trainer position, and why are they important?

To thrive as an Online Python Trainer, you need a solid understanding of Python programming, experience in curriculum development, and often a degree in computer science or a related field. Familiarity with virtual teaching platforms, collaborative coding tools (like Jupyter Notebooks), and relevant certifications (such as PCEP or PCAP) are highly valuable. Strong communication, patience, and the ability to engage learners in a remote setting are standout soft skills. These skills ensure effective knowledge transfer, learner engagement, and high-quality instruction in an online environment.

What does a typical workday look like for an Online Python Trainer?

A typical workday for an Online Python Trainer involves preparing and delivering live or recorded lessons, assisting students through interactive coding exercises, and providing feedback on assignments. Trainers often spend time answering student questions in forums or live chat, monitoring learner progress, and refining course materials based on feedback. Collaboration with other trainers or curriculum designers may also be part of the role, helping to continuously improve the training experience. This variety ensures that each day is both dynamic and focused on helping students achieve their programming goals.
What are the most commonly searched types of Python Trainer jobs in Arizona? The most popular types of Python Trainer jobs in Arizona are:
What are popular job titles related to Online Python Trainer jobs in Arizona? For Online Python Trainer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Online Python Trainer jobs in Arizona look for? The top searched job categories for Online Python Trainer jobs in Arizona are:
What cities in Arizona are hiring for Online Python Trainer jobs? Cities in Arizona with the most Online Python Trainer job openings:

Senior Software Engineer, Auto Labelling

Waabi

Phoenix, AZ • On-site, Remote

$170K - $220K/yr

Full-time

Posted yesterday


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...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
 
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 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. 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.