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Teach Children! - Spark Imaginative Learning!

Mad Science of Toronto

Teach Children! - Spark Imaginative Learning!

Part Time
  • Responsibilities

    Mad Science® of Toronto has been providing extra-curricular programming to children for over 23 years in the Greater Toronto Area!

    From entertaining educational programs to educational entertainment, Mad Science® of Toronto sparks imaginative learning in children.

    Mad Science® is the world's leading provider of fun extra-curricular programs for elementary-aged children.

    Job Summary

    As a Mad Scientist you will lead students through an inquiry-based discovery method involving instructor demonstrations, hands-on activities and amazing take-home projects.

    You will facilitate a group of children between the ages of 4-12 during their lunch or after-school extra-curricular program, over an 8 to 10 week session.

    You will inspire the next generation of scientists, engineers, and artists through our innovative activities that show children what education is really all about.

    We want to pay you to have fun! You could have the opportunity to build and fly rockets, create slime, explore the states of matter using dry ice, innovate using Lego® blocks, become a Chess master, design art projects using Crayola® and so much more.

    All educational disciplines and backgrounds welcome!

    A science background is not required.

    A teaching certificate is not necessary.

    This is a part-time position.

    $35.00 per one-hour class


    experience working with groups of children between the ages of 4-12 years old

    a valid driver's license & access to a vehicle during working hours

    provide a valid Vulnerable Sector police screening once hired

    a high energy, outgoing, positive personality

    the ability to lift heavy equipment occasionally


    Must be:

    available during lunch and/or after school hours

    available Fridays from 1:30-2:30

    able to commit to an entire season (8-10 weeks)

    attend training sessions as assigned