Teaching Assistant-computer Science

3 days ago


Remote, India NCR Eduservices Pvt Ltd Full time

**About Us**:
NCR Eduservices, a leading provider in educational services, delivers a comprehensive suite of solutions including e-tutoring, content development, academic delivery quality management, and extensive back-office support. Dedicated to addressing challenges for educational organizations, instructors, and learners through innovative strategies, the company is focused on enhancing education quality and accessibility. It holds ISO 9001:2015 and ISO 27001:2013 certifications, underscoring its commitment to quality management and information security.

**Position: Teaching Assistant (Computer Science)**

**Job Type**: Work from Home

**Qualification**: M.Sc (Computer Science) or related field/Ph.D.

**Experience**: 2+ years in Ed-tech Industry

**Process : Chat + Video & Audio**

**Timing: 12:00 PM to 12:00 AM 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**:

- Strong 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**:

- In your cover letter, share why you're excited about this role and how your skills align with our requirements.

Schedule:

- Day shift

Work Location: Remote



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