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AI/ML and Python Instructor

3 years

0 Lacs

Posted:20 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Company Description

Labdox

Role Description

passionate AI/ML and Python Instructor

remote, contract-based opportunity

Key Responsibilities

  • Design and deliver beginner to advanced 

    AI/ML and Python courses

     for students and professionals.
  • Develop hands-on projects, quizzes, and assignments with 

    real-world datasets and case studies

    .
  • Conduct 

    live sessions, code walkthroughs, and Q&As

     using collaborative tools.
  • Keep course content up to date with the 

    latest trends in AI, ML, and Data Science

    .
  • Provide 

    one-on-one mentorship

     and personalized feedback to learners.
  • Collaborate with the curriculum and content team to continuously refine learning paths.

Requirements

  • Bachelor’s or Master’s degree in 

    Computer Science, Data Science, or a related field

    .
  • 3+ years of 

    hands-on experience in Python programming

     and core machine learning concepts.
  • Strong command over 

    Supervised/Unsupervised Learning

    , 

    Model Evaluation

    , 

    Feature Engineering

    , and 

    Python Libraries

     (NumPy, Pandas, Scikit-learn, Matplotlib, etc.).
  • Experience with frameworks like 

    TensorFlow

    , 

    Keras

    , or 

    PyTorch

     is a plus.
  • Familiarity with tools like 

    Jupyter Notebooks

    , 

    Google Colab

    , or 

    VS Code

    .
  • Excellent communication skills and the ability to teach concepts in a simple, engaging manner.

Why Join Labdox?

  • Teach Globally

    : Join a platform trusted by 25,000+ learners across 90+ countries.
  • Work Remotely

    : Design your own teaching schedule and work from anywhere.
  • Cutting-Edge Curriculum

    : Collaborate with our team to teach relevant, practical, industry-aligned content.
  • Mentor & Grow

    : Be a changemaker in someone’s career journey.
  • Competitive Pay

    : Attractive compensation with performance-based bonuses.
  • Thought Leadership

    : Get featured as a subject expert, contribute to blogs, and speak at industry events.


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