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Remote Python Teaching Jobs in Oregon (NOW HIRING)

Provide real-time troubleshooting and debugging support in Python as students build out their labs ... teaching technical topics or leading engineering teams. You must be comfortable engaging a remote ...

Data Consultant

$92K - $115K/yr

Teaches other project team members to ensure productivity and quality. * Identifies potential scope ... JavaScript, XML, and Python experience preferred. * Strong communication and presentation skills ...

Remote Python Teaching information

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.

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 the most commonly searched types of Python Teaching jobs in Oregon? The most popular types of Python Teaching jobs in Oregon are:
What are popular job titles related to Remote Python Teaching jobs in Oregon? For Remote Python Teaching jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Remote Python Teaching jobs? Cities in Oregon with the most Remote Python Teaching job openings:
Infographic showing various Remote Python Teaching job openings in Oregon as of June 2026, with employment types broken down into 44% Full Time, 51% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 81% Physical, and 19% Remote job distribution.
Lead Instructor: Agentic AI Engineering

Lead Instructor: Agentic AI Engineering

General Assembly

OR • Remote

$11K - $15K/wk

Other

Posted 19 days ago


Job description

Job Title: Lead Instructor: Agentic AI Engineering

Company: General Assembly

Client: Confidential - Customer Success Reskilling

Location: Remote (Must work West Coast / Pacific Time hours)

Duration: 2 Weeks (Starting Mid-June)

Commitment: Roughly 30 hours per week

Compensation: $11,500 - $15,500 (Estimated lump sum payment for one 60-hour program)

About the Engagement

General Assembly is delivering an intensive reskilling program designed to transition experienced Customer Success and Account Management (CSAM) professionals into technical roles focused on Agentic AI Engineering.

As the Lead Instructor, you will lead the charge in teaching students how to design and build sophisticated multi-agent systems. You will move beyond theory to help learners master tool use, memory, and long-horizon planning. This is a high-impact, 2-week "sprint" where you will be the primary technical guide for a cohort of professionals entering the world of autonomous AI orchestration.

What You'll Do
  • Lead Live Technical Instruction: Deliver synchronous remote lectures and "build-along" sessions focused on designing agentic systems within Azure AI Foundry, Copilot Studio, and Semantic Kernel.
  • Facilitate Complex Labs: Guide students through hands-on exercises involving agent design patterns, multi-agent orchestration, and API integration.
  • Code Mentorship: Provide real-time troubleshooting and debugging support in Python as students build out their labs and capstone projects.
  • Translate Architecture: Break down complex systems-thinking and architecture concepts-such as memory management and planning in LLMs-into actionable steps for non-engineering professionals.
  • Office Hours & Feedback: Hold dedicated sessions to review student builds, ensuring their agentic systems are robust, scalable, and technically sound.
What You Bring
  • The Expertise: 7+ years in software engineering, with at least 2+ years of hands-on experience building and deploying agentic AI systems in a production environment.
  • The Tech Stack: Deep proficiency in Azure AI Foundry, Copilot Studio, and Semantic Kernel. (Experience with LangChain or LangGraph is highly valued as an adjacent skill set).
  • Core Skills: Expert-level Python proficiency, API design, and advanced prompt engineering. You should have a deep understanding of agent design patterns (tool use, planning, and orchestration).
  • Instructional Presence: Proven experience teaching technical topics or leading engineering teams. You must be comfortable engaging a remote audience and managing a fast-paced learning environment.
  • The Credentials: AZ-900 and AI-900 are required; AI-102 is strongly preferred.
  • Preferred Background: Experience as an AI Engineer or Azure Solution Architect at Microsoft, Google, or a similar Tier-1 tech firm is a major plus.

Note on Schedule: This is a 2-week, high-intensity engagement starting in mid-June. The instructor must be available for 30 hours per week and must be able to work during West Coast (Pacific Time) business hours to support the learner cohort.