Teaching Assistant- Data Analytics
1 week ago
About the company:
NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements.
The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world's leading training companies owing to its vast, yet comprehensive array of talent development programs.
With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.Link for our website:
: Teaching Assistant
Duration :
Part-Time / Freelance
Location :
Remote/wfh
40 Hrs in a month
10 hr weekly engagement every month.
Attend live classes to assist students with labs and clarify concepts:
- Tuesday
- 4hrs
- 330 AM – 730 AM IST
Friday- 2hrs - 330 AM – 530 AM IST
Provide outside class support, by joining calls and appointments with students.
Preferred time for support:
- 7 PM IST – 330 AM IST
Teaching Assistant must familiarize himself with course content. He should be able to solve all the practices, assignments, and capstone project exercises.
They must coordinate with instructor for students' homework evaluations and assist instructors
in reviewing the assignment submissions and providing grades and feedback.
Teaching assistant must respond to student queries within 48 hours of student raising the query on zoom chat.
Weekly 10 hours of effort is to be completed by the Teaching assistant. This can be distributed for evaluations of assignments, responding to zoom chat and other technical support to students.
Teaching Assistant must occasionally join live classes and assess the students and gain
better understanding of our learning pedagogy.
Assignment evaluations can be done during the weekend since students submit majority of the work during the weekends (Saturday and Sunday).
Available for scheduled meetings with internal team and manager during the weekdays as required.- NIIT is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic.
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