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Remote Python Teaching Jobs (NOW HIRING)

TripleTen

FDE Teaching Expert (Part-time)

New York, NY · On-site +1

Our team is fully remote and globally distributed, and we serve a large, active student base across ... APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major ...

TripleTen

FDE Teaching Expert (Part-time)

New York, NY · Remote

$65 - $89/hr

APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major ... Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring ...

TripleTen

Our team is fully remote and globally distributed, and we serve a large, active student base across ... APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major ...

NuView Analytics

Senior Data Analyst (Remote)

Denver, CO · Remote

$90K - $120K/yr

R or Python experience a plus * Tableau, Power BI, or Looker all stars * Looking for a self-starter ... Ability to Lead other team members as a player coach, completing projects side-by-side and teaching ...

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How much do remote python teaching jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote python teaching 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 remote Python teaching?

Remote Python teaching involves instructing students in the Python programming language through online platforms rather than in a traditional classroom setting. Teachers use tools such as video conferencing, screen sharing, and interactive coding environments to deliver lessons, assign tasks, and provide feedback. This approach allows both instructors and students to participate from any location, making learning more accessible and flexible. Remote Python teachers may work with individuals, small groups, or large virtual classes, catering to various skill levels from beginners to advanced programmers.

What are the key skills and qualifications needed to thrive as a remote Python teacher, and why are they important?

To thrive as a Remote Python Teacher, you need a strong command of Python programming, curriculum design experience, and often a relevant degree or teaching certification. Familiarity with online learning platforms, screen-sharing tools, and coding environments like Jupyter Notebook or PyCharm is typically required. Excellent communication, patience, and the ability to motivate students are vital soft skills in this role. These abilities ensure engaging, effective instruction and help students successfully learn Python in a remote setting.

What are some common challenges faced when teaching Python remotely, and how can they be addressed?

One common challenge when teaching Python remotely is keeping students engaged and ensuring they understand key concepts without in-person cues. To address this, successful remote Python instructors often incorporate interactive elements such as coding exercises, live demonstrations, and real-time feedback using screen-sharing tools. Regular check-ins, clear communication, and using collaborative platforms like Jupyter Notebook or online IDEs also help maintain student participation and understanding. Building a supportive virtual classroom atmosphere and being responsive to questions further enhances the learning experience.
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Remote Python Teaching jobs near you
Infographic showing various Remote Python Teaching job openings in the United States as of August 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Electrical Engineer with Python Proficiency - AI Trainer

Kake Group

Austin, TX • Remote

Contractor

Re-posted 4 days ago

Job description

We're building a talent pool of Electrical Engineering professionals with Python proficiency to contribute to project-based AI development initiatives, focused on evaluating and enhancing frontier AI models.

Designed for electrical engineers who enjoy deep technical problem-solving, this pipeline role is for those looking to apply their simulation expertise to evaluate and push the boundaries of frontier AI models, relying on domain-specific tools such as ngspice, scikit-rf, python-control, or pandapower, with verifiable, code-graded answers run inside isolated Linux environments.

Key Responsibilities

  • Identify an appropriate electrical engineering simulation package and build problems whose solution genuinely hinges on that tool's core capabilities, whether solvers, simulation kernels, or domain-specific models.
  • Develop full Python solutions for each problem, providing all necessary netlist files and circuit definitions as required.
  • Establish the correct numerical output and define how close the AI model needs to get, using tolerance values appropriate to the engineering context.
  • Run the problem against the AI model across multiple parallel attempts, analyzing where it succeeds or falls short, and adjusting difficulty until the pass rate falls between 10% and 30%.
  • Tune circuit topologies, operating conditions, and solver parameters iteratively, building an understanding of how the model navigates complex circuit, control, and power systems problems.
  • Hand off completed tasks to a senior reviewer in your subfield and refine based on their feedback before final submission.

Core Requirements

  • Academic background in Electrical Engineering or a closely related field.
  • At least 2 years of hands-on experience in engineering research, applied work, or teaching.
  • Solid Python skills, applied to writing and validating computational solutions.
  • Capacity to build problems that cannot be solved without specialized simulation software.
  • Excellent written and verbal communication skills in English.
  • Ability to work independently in a remote, fast-paced environment.

Nice-to-Have

  • Working knowledge of one or more domain-specific electrical engineering tools, including but not limited to ngspice, scikit-rf, python-control, pandapower, or PyPSA, or a demonstrated ability to get up to speed independently.
  • Prior exposure to how frontier AI models approach complex simulation tasks.
  • Knowledge spanning more than one engineering domain, such as circuit analysis, control systems, or power systems.
  • Familiarity with containerized or sandboxed Linux execution environments.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted.

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.