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Remote Python Teaching Jobs in Seattle, WA (NOW HIRING)

Physics Expert - Remote

Seattle, WA · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test ...

Physics Expert - Remote

Seattle, WA · Remote

$80 - $160/hr

Remote Job Overview We are seeking established Physics Professors and Principal Investigators to ... Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test ...

... LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex ... teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their ...

Early on, current team members will devote a large amount of time to teaching you and helping you ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

Early on, current team members will devote a large amount of time to teaching you and helping you ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

We're based in Seattle and work 4 days a week in the office (one day remote). We're growing fast ... When you learn something, teach it. Learn enough about adjacent functions to ask good questions ...

Senior Software Engineer

Seattle, WA · On-site +1

$139K - $183K/yr

We're based in Seattle and work 4 days a week in the office (one day remote). We're growing fast ... When you learn something, teach it. Learn enough about adjacent functions to ask good questions ...

Remote Python Teaching information

See Seattle, WA salary details

$15

$66

$98

How much do remote python teaching jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for remote python teaching in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 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.

What are the most commonly searched types of Python Teaching jobs in Seattle, WA?

The most popular types of Python Teaching jobs in Seattle, WA are:

What are popular job titles related to Remote Python Teaching jobs in Seattle, WA?

For Remote Python Teaching jobs in Seattle, WA, the most frequently searched job titles are:

Infographic showing various Remote Python Teaching job openings in Seattle, WA as of August 2026, with employment types broken down into 10% Internship, 78% Full Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Physics Expert - Remote

YO AI Labs

Seattle, WA • Remote

$80 - $160/hr

Full-time

Posted 7 days ago


Job description

Job Title: Physics Expert – Professor / Principal Investigator

Role Type: Contractor
Location: Remote

Job Overview

We are seeking established Physics Professors and Principal Investigators to provide high-level scientific expertise for a project focused on advancing next-generation AI systems. In this role, you will apply deep subject-matter expertise to evaluate competing physics arguments, assess technical reasoning, and provide authoritative judgments on complex or ambiguous scientific questions.

The ideal candidate brings a strong record of independent research, scholarly impact, and scientific leadership. No prior AI experience is required—your physics expertise, research judgment, and ability to evaluate complex scientific reasoning are what matter most.

Scope of Work
  • Adjudicate contested or competing physics arguments, solutions, and interpretations within your area of expertise.
  • Compare alternative approaches to complex physics problems and explain which approach is stronger, under what assumptions, and within which applicable regimes.
  • Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific soundness of competing solutions.
  • Assess key assumptions, approximations, limitations, failure modes, and breaking points within technical arguments.
  • Provide calibrated expert judgments, distinguishing established conclusions from genuine uncertainty, unresolved questions, or active areas of research.
  • Draft rigorous, defensible written evaluations suitable for review by senior physicists and research professionals.
  • Use technical tools such as LaTeX, SymPy, Python, and Jupyter to verify calculations, test assumptions, or compare technical claims where appropriate.
  • Clearly explain when a question remains unresolved within the field and identify the relevant scientific considerations.
  • Contribute expert feedback and domain-level reasoning to support AI model training, evaluation, and improvement.
Required Skills
  • Physics Mastery
  • Expert Judgment in Ambiguous Cases
  • Meta-Level Reasoning
  • Research Leadership
  • Defensible Written Articulation
  • Scientific Analysis
  • Technical Evaluation
  • Research Communication
  • Critical Thinking
Preferred Qualifications
  • PhD in Physics with demonstrated expertise and scholarly impact in a specific physics subfield.
  • Current or former Associate Professor, Full Professor, Chair Professor, Principal Investigator, or Research Group Leader with a strong record of independent research leadership.
  • Active or recent research experience in one or more of the following areas:
    • High Energy Physics
    • Mathematical Physics
    • Biophysics
    • Statistical Physics
    • Condensed Matter Physics
    • AMO / Quantum Optics
    • Gravitation
    • Cosmology
    • Astrophysics
    • Quantum Information
    • Optical Properties of Materials
  • 3–5 recent representative publications in the target research area, with arXiv or DOI references available.
  • Experience supervising PhD students, postdoctoral researchers, or equivalent research leadership in an industry setting.
  • Proficiency with LaTeX, SymPy, Python, and Jupyter; candidates should be prepared to indicate any gaps in experience with these tools.
  • Exceptional written and verbal communication skills, with the ability to articulate nuanced scientific judgments clearly and rigorously.
  • Demonstrated ability to distinguish between established scientific knowledge, reasonable interpretations, and genuinely unresolved questions.