Freelance Trainer - Data Science & Artificial Intelligence

2 years

3 - 4 Lacs

Posted:20 hours ago| Platform: GlassDoor logo

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Job Type

Part Time

Job Description

Job Title: Freelance Trainer - Data Science & Artificial Intelligence

Job Location: Trichy , Tamil Nadu

Job Mode: Offline - Freelance

Job Description:

We are seeking a passionate and knowledgeable Data Science & AI Trainer to deliver hands-on training sessions to college students. The ideal candidate should have a strong foundation in data science, machine learning, and AI concepts, with the ability to simplify complex topics and engage learners through practical examples and projects.

Responsibilities:

  • Deliver in-depth training on Data Science, Machine Learning, Deep Learning, and AI tools and techniques.
  • Develop or follow structured lesson plans, course materials, and lab exercises.
  • Conduct hands-on coding sessions using Python and related libraries (Numpy, Pandas, Scikit-learn, Tensor Flow/PyTorch, etc.).
  • Provide individual support, project guidance, and real-world application insights to students.
  • Stay updated with the latest trends and advancements in AI & Data Science.
  • Maintain a professional and supportive learning environment in the classroom.

Required Skills & Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
  • Proven teaching/training experience in Data Science and AI.
  • Strong programming skills in Python.
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau – optional).
  • Good communication and presentation skills in English (Tamil proficiency is a plus).
  • Ability to explain technical concepts in a simplified and engaging manner.

Job Type: Freelance
Contract length: 3 months

Pay: ₹25,000.00 - ₹35,000.00 per month

Experience:

  • Data Science & AI Trainer: 2 years (Preferred)

Location:

  • Trichy, Tamil Nadu (Required)

Willingness to travel:

  • 25% (Required)

Work Location: In person

Application Deadline: 05/08/2025
Expected Start Date: 11/08/2025

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