Hiring || Assistant Professor

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: Assistant Professor (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

Working Days : 6 Days (1st & 3rd Sat will be off)sessions

Timing: 12:00 PM to 11:30 PM (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:

• Send your updated resume to
• In your cover letter, share why you're excited about this role and how your skills align with our requirements.

Regards,

Kirtika Sharma

Team Lead-HR & Operations