2

Remote Python Trainer Jobs in Tennessee (NOW HIRING)

next page

Showing results 1-20

Remote Python Trainer information

What is the difference between Remote Python Trainer vs Remote Data Scientist?

AspectRemote Python TrainerRemote Data Scientist
Required CredentialsPython certifications, teaching experienceStatistics, programming, Python, data analysis certifications
Work EnvironmentOnline training platforms, educational institutionsResearch organizations, tech companies, consulting firms
Employer & Industry UsageEducational, e-learning, corporate trainingTech, finance, healthcare, research
Search & Comparison IntentLearning, teaching, curriculum developmentData analysis, modeling, machine learning

While both roles require Python knowledge, Remote Python Trainers focus on teaching and curriculum development, often in educational or corporate settings. Remote Data Scientists analyze data, build models, and derive insights, typically working in research or tech industries. The roles overlap in Python skills but differ in their primary focus and work environment.

What are the most commonly searched types of Python Trainer jobs in Tennessee? The most popular types of Python Trainer jobs in Tennessee are:
What are popular job titles related to Remote Python Trainer jobs in Tennessee? For Remote Python Trainer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Remote Python Trainer jobs in Tennessee look for? The top searched job categories for Remote Python Trainer jobs in Tennessee are:
What cities in Tennessee are hiring for Remote Python Trainer jobs? Cities in Tennessee with the most Remote Python Trainer job openings:
Associate Game Developer (Panda3D) - Remote

Associate Game Developer (Panda3D) - Remote

micro1 AI

Nashville, TN • Remote

$20 - $70/hr

Part-time

Posted 21 days ago


Job description

Job Title: Junior Python Game Developer (Panda3D)


Job Type: Contractor


Location: Remote


Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Leverage your proficiency in Python and C++ to provide insights and feedback on interactive game development tasks.
  2. Utilize the Panda3D engine to review, critique, and suggest improvements on code samples and game logic.
  3. Contribute domain-specific examples to help enhance AI understanding of modern game development workflows.
  4. Analyze and address practical challenges in game rendering, asset management, and gameplay mechanics.
  5. Document and explain decision-making processes in a clear, concise manner for AI training purposes.
  6. Collaborate with a distributed team to deliver high-quality, real-world input that shapes future AI technologies.
  7. Participate in iterative feedback cycles to continuously improve AI learning outcomes.



Required Skills and Qualifications:

  1. Solid hands-on experience with Python programming, especially in game development contexts.
  2. Strong understanding of the Panda3D engine and its practical application in creating interactive 3D environments.
  3. Familiarity with C++ and its integration within game engines.
  4. Proficient in using GitHub for version control, code reviews, and collaboration.
  5. Ability to communicate complex technical concepts clearly and effectively.
  6. Meticulous attention to detail and problem-solving mindset.
  7. Self-motivated and comfortable working independently in a remote setting.



Preferred Qualifications:

  1. Previous experience contributing to open-source projects or AI-related initiatives.
  2. Knowledge of modern software development practices and pipelines in game development.



Additional Info:

This is a unique opportunity for a junior developer to gain experience while supporting the training of advanced AI systems. You'll collaborate with the customer's team and contribute directly to shaping how AI understands and interacts with real-world gaming environments.