Position: Teaching Assistant (Computer Science)
Job Type: Work from Home
Qualification : Ph.D.
Experience: 2+ years in Ed-tech Industry
Process : Chat + Video & Audio
Working Days : 6 Days (1st & 3rd Sat will be off)
Timing: Full Time : 12:00 PM to 11:30 PM IST (9 hours/day within this range)
Key Responsibilities:
- Academic Support: Provide Academic and Administrative support to UG or PG Level Students.Answering academic requests in a timely manner (within 24 hours, ideally within 1 hour during normal working hours).
- Proactive Engagement: Proactively check with each student at least twice a month, conducting 1:1 session to go through a predefined list of checks and address students' questions.
- Grading: Mark and grade assignments (2 to 4 per module each term), scaling up with markers if needed to ensure a 1-week turnaround.
- Collaboration: Collaborate with the tutor manager and professors to ensure consistency in grading.
- Monitoring and Feedback: Monitor student progress and provide feedback to the manager. Provide constructive feedback to students on their work.
- Administrative Support: Provide administrative support to the academic staff and faculty members. Act as the primary point of contact for students for academic matters, handling administrative inquiries related to the program.
- Communication: Facilitate communication between academic staff and students, ensuring that students receive prompt and appropriate responses to their queries and concerns.
- Student Feedback: Aim to receive positive feedback from students, who will periodically provide feedback on the quality of the support provided by tutors.
Qualifications and Skills:
- Masters of Science (MSc) in Computer Science with a specialization in Data Science or related field. Ph.D. is preferred.
- Accent free spoken English, and C2/native English overall.
- 2+ years of experience in a tutoring or teaching role.
- Familiarity with Canvas learning management system (LMS) and/or other LMSs commonly used in online education.
- Familiarity with plagiarism detection tools and other software commonly used in grading and assessment.
- Strong organizational and communication skills, with the ability to manage multiple tasks and priorities effectively.
- Ability to explain complex concepts in a way that is easy for students to understand.
- Ability to adapt to different learning styles and student needs.
- Knowledge of assessment tools and techniques to effectively monitor student progress.
- Ability to provide constructive feedback to students to help them improve their work.
- Commitment to excellence in teaching and learning, and a passion for computer science education.
- Strong interpersonal and communication skills.
Who We're Looking For:
- Solid knowledge of computer science principles and current technologies.
- Excellent teaching and communication skills.
- Ability to work collaboratively with faculty, staff, and students.
- Strong organizational and leadership skills.
- Familiarity with Canvas learning management system (LMS) and/or other LMSs commonly used in online education.
Application Process: Ready to drive your career to new heights? Here's how to apply:
- Send your updated resume to
[email protected]
Job Type: Full-time
Work Location: Remote
📌 Teaching Assistant - Computer Science (India)
🏢 NCR Eduservices
📍 India