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Online Python Trainer Jobs (NOW HIRING)

Sr. Data Analyst, Online Investigations

House, NM ยท On-site

$77.40K - $97.60K/yr

... training for the department, including entry-level analysts. * 35% - Reporting - Develop and ... Experience with Python. Minimum Education: * The knowledge, skills and abilities typically acquired ...

AI Developer

Memphis, TN ยท On-site +1

Training and Experience: 3-7 years in backend development, AI systems, or related roles, with a ... The ideal candidate brings hands-on experience with Python and modern data tooling and is ...

Build training and inference code with reproducibility, versioning, and automated testing ... Implement scalable model serving (online/offline), batching, and latency/throughput optimization.

Build training and inference code with reproducibility, versioning, and automated testing ... Implement scalable model serving (online/offline), batching, and latency/throughput optimization.

... Build training and inference code with reproducibility, versioning, and automated testing ... serving (online/offline), batching, and latency/throughput optimization. - Integrate model ...

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Online Python Trainer information

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How much do online python trainer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for online python trainer in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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 cities are hiring for Online Python Trainer jobs? Cities with the most Online Python Trainer job openings:
What are the most commonly searched types of Python Trainer jobs? The most popular types of Python Trainer jobs are:
What states have the most Online Python Trainer jobs? States with the most job openings for Online Python Trainer jobs include:
What job categories do people searching Online Python Trainer jobs look for? The top searched job categories for Online Python Trainer jobs are:
Infographic showing various Online Python Trainer job openings in the United States as of May 2026, with employment types broken down into 69% Full Time, 8% Part Time, 6% Temporary, 11% Contract, and 6% Summer. Highlights an 86% In-person, 6% Hybrid, and 8% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior/Staff Engineer, Machine Learning - Online Mapping

Senior/Staff Engineer, Machine Learning - Online Mapping

Nuro

Mountain View, CA โ€ข On-site

$183.83K - $333.93K/yr

Full-time

Posted 26 days ago


Job description

Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driverโ„ข, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale-empowering a safer, richer, and more connected future.
About the Team
Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines.
About the RoleBuilding robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation.
About the Work
  • Research, develop, and implement state-of-the-art online mapping models and algorithms.
  • Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system.
  • Work cross functionally with other ML teams to integrate our models into centralized architectures.
  • Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements.

About You
  • Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation.
  • Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in AV, robotics, mapping, computer vision, or related areas.
  • Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions.
  • Able to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions.
  • Experience with robotics-related ML applications, 3D geometry.
  • Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.

Bonus Points
  • Proficiency in working with complex multi-component systems.
  • Experience in building ML pipelines and optimizing/productizing ML models.
  • Familiarity with modern ML tools and infrastructure such as distributed training and ML compilers.
  • Demonstrated research publications in top conferences (e.g. NeurIPS, ICLR, ICML, CVPR, RSS, CoRL, ICRA).
  • Deep understanding of 3D geometry and state estimation fundamentals.

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $183,825 and $333,925 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics.