Request A Callback

Request callback 82860054e0a475fa851fdf7792563e9fe0c6581aec2f02821607315a5fbb9da6.svg

Chat With Us

Message icon 379ffada3d0e74d968eb617f6f353d25d1af31ac3328bde8cb9ca1098357eac6.svg

Contact Us

Widget icon 09f048bbbfe8e11c029279fbb872b3966281c5ef5c95a2065779de849e8b181f.svg
Close 22a8ae0e815daabd1f2a3846b3613e553fecb0cbef0a27983456ff43ca5800e6.svg
Request Callback
Email ID *
Full Name *
Graduation Year *
Job Title *
Select Job title *
Engineering Leadership
Software Development Engineer (Backend)
Software Development Engineer (Frontend)
Software Development Engineer (Full Stack)
Data Scientist
Android Engineer
iOS Engineer
Devops Engineer
Support Engineer
Research Engineer
Engineering Intern
QA Engineer
Co-founder
SDET
Product Manager
Product Designer
Backend Architect
Program Manager
Release Engineer
Security Leadership
Database Administrator
Data Analyst
Non Coder
Other
Program *
Select Program *
Academy
Data Science
MS in CSE
Mobile Number *
+91 *
+91
You’ll receive an OTP on this number for verification
By continuing, I have read and agree to Scaler’s Terms and Privacy Policy
Check 360b002a4b62e5945e146845135307f9671a38c8b308903fe5be835918e10f9f.svg Callback Requested
Our Academic Counsellor would reach out to you within the next 24 hours.
Technical support d11d16e019dbb2885dda285f9a01e7e03ebbb8e696e5e874bfe1e7e532117626.png
Need Help? Talk to our Academic Advisors
Request Callback
Scaler
Ready to become a Rockstar Developer?
Already a member? LOG IN
Full Name *
Email *
Phone Number *
OTP will be sent to this number for verification
+91 *
+91
Graduation Year *


By creating an account I have read and agree to Scaler’s Terms and Privacy Policy
Already a member? LOG IN
OR
Log in using
Mobile Number *
+91 *
+91

OR
Log in using
Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Verify mobile
We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Resend OTP

Scaler Teaching Assistant (TA) Program

We are building Scaler with a core mission of helping people unlock their true potential so they could land the better tech jobs they actually deserve. We cannot do it just by ourselves - we are looking for the like-minded people who believe in the same mission.

Teaching Assistants are a crucial part of the Scaler community - they are helping students to achieve their goals by coaching them on the program material and making sure that the students are on the correct learning path.

Why become a TA?

detail__blocks img

GROWTH

Keep your coding skills up-to-date & develop your management skills

detail__blocks img

NETWORK

Interact with people from MAANG and other product-based companies

detail__blocks img

EXTRA INCOME

Earn upto 2 lakhs per month based on your performance

How it works

application Logo
STEP 1
You Apply

Fill out the application or reach out to us directly if you have any questions.

profile-review Logo
STEP 2
Your Profile is Reviewed

If your profile matches our criteria we will invite you for online interviews.

teach Logo
STEP 3
You Teach

Once enrolled as a Teaching Assistant, log in to see a personalised dashboard with further instructions.

application Logo
STEP 1
You Apply

Fill out the application or reach out to us directly if you have any questions.

profile-review Logo
STEP 2
Your Profile is Reviewed

If your profile matches our criteria we will invite you for online interviews.

teach Logo
STEP 3
You Teach

Once enrolled as a Teaching Assistant, log in to see a personalised dashboard with further instructions.

Course curriculum

Week 01-14

Week 01-06

Maths, Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation

Week 07-10

Stacks, Queues, Linked Lists, Trees, Tries, Heap

Week 11-14

Greedy, Dynamic Programming, Graphs
Week 15-17

Week 15-16

Operating Systems and Databases

Week 17

Computer Networks
Week 18-24

Week 18-20

Low Level Design - OOPS, Design Patterns, UML Diagrams, Schema Design

Week 21-22

High Level Design - Architecture Design, Distributed Systems, Load Balancing, Consistent Hashing, Caching, SQL vs NoSQL, Designing Real Life Systems

Week 23-24

Shell Scripting, Version Control, Javascript, Building a sever, Intro to MVC
The next phase of the course will be based on your preference and performance till now.
Week 25-30
Backend
Fullstack

Week 25-26

Week 25-26

Advanced MVC, REST APIs, ORM, SprintBoot, Views, Database Indexes, Mutlithreading
Web architecture, HTML, CSS, Javascript

Week 27-28

Week 27-28

Project Building
Node.js, Backend Architecture, MongoDB, React/Redux

Week 29-30

Week 29-30

Advanced Data Structures and Algorithms
Project Building

Backend Engineer Jobs

Fullstack Engineer Jobs

Week 01-14
Week 15-17
Week 18-24
The next phase of the course will be based on your preference and performance till now.
Week 25-30

Week 01-06

Maths, Time Complexity, Arrays, Strings, Binary Search, 2 Pointers, Recursion, Hashing, Sorting, Bit manipulation

Week 07-10

Stacks, Queues, Linked Lists, Trees, Tries, Heap

Week 11-14

Greedy, Dynamic Programming, Graphs

Week 15-16

Operating Systems and Databases

Week 17

Computer Networks

Week 18-20

Low Level Design - OOPS, Design Patterns, UML Diagrams, Schema Design

Week 21-22

High Level Design - Architecture Design, Distributed Systems, Load Balancing, Consistent Hashing, Caching, SQL vs NoSQL, Designing Real Life Systems

Week 23-24

Shell Scripting, Version Control, Javascript, Building a sever, Intro to MVC
Backend
Fullstack

Week 25-26

Week 25-26

Advanced MVC, REST APIs, ORM, SprintBoot, Views, Database Indexes, Mutlithreading
Web architecture, HTML, CSS, Javascript

Week 27-28

Week 27-28

Project Building
Node.js, Backend Architecture, MongoDB, React/Redux

Week 29-30

Week 29-30

Advanced Data Structures and Algorithms
Project Building

Backend Engineer Jobs

Fullstack Engineer Jobs

Ready to join as a Teaching assistant?

+91 *
+247
+376
+971
+93
+1
+1
+355
+374
+244
+54
+1
+43
+61
+297
+358
+994
+387
+1
+880
+32
+226
+359
+973
+257
+229
+590
+1
+673
+591
+599
+55
+1
+975
+267
+375
+501
+1
+61
+243
+236
+242
+41
+225
+682
+56
+237
+86
+57
+506
+53
+238
+599
+61
+357
+420
+49
+253
+45
+1
+1
+213
+593
+372
+20
+212
+291
+34
+251
+358
+679
+500
+691
+298
+33
+241
+44
+1
+995
+594
+44
+233
+350
+299
+220
+224
+590
+240
+30
+502
+1
+245
+592
+852
+504
+385
+509
+36
+62
+353
+972
+44
+91
+246
+964
+98
+354
+39
+44
+1
+962
+81
+254
+996
+855
+686
+269
+1
+850
+82
+965
+1
+7
+856
+961
+1
+423
+94
+231
+266
+370
+352
+371
+218
+212
+377
+373
+382
+590
+261
+692
+389
+223
+95
+976
+853
+1
+596
+222
+1
+356
+230
+960
+265
+52
+60
+258
+264
+687
+227
+672
+234
+505
+31
+47
+977
+674
+683
+64
+968
+507
+51
+689
+675
+63
+92
+48
+508
+1
+970
+351
+680
+595
+974
+262
+40
+381
+7
+250
+966
+677
+248
+249
+46
+65
+290
+386
+47
+421
+232
+378
+221
+252
+597
+211
+239
+503
+1
+963
+268
+290
+1
+235
+228
+66
+992
+690
+670
+993
+216
+676
+90
+1
+688
+886
+255
+380
+256
+1
+598
+998
+39
+1
+58
+1
+1
+84
+678
+681
+685
+383
+967
+262
+27
+260
+263
+979
Select graduation year *
2026
2025
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
2006
2005
2004
2003
2002
2001
2000
1999
1998
1997
1996
1995
1994
1993
1992
1991
1990
1989
1988
1987
1986
1985
1984
1983
1982
1981
1980
1979
1978
1977
1976
1975
1974
1973
1972
Select your subject of expertise *
Data Structures and Algorithm
Data Science, Machine Learning
System Design (HLD, LLD)
Enter company name *
Resume *
(Required if you don't have a LinkedIn profile)
By clicking Send Application, I have read and agree to Scaler’s Terms and Privacy Policy
Application form