Professor (WFH)

About the job:We are looking for an experienced Computer Science Professor / Senior Subject-Matter Expert to help develop high-quality educational content for programming, computer science, software engineering, and emerging technology topics.

The ideal candidate should have strong academic knowledge, university-level teaching experience, and the ability to explain complex technical concepts in a clear, structured, and engaging way.

The role involves curriculum development, technical research, course planning, script preparation, content review, coding examples, assessments, and academic quality assurance for digital learning content.

Candidates with experience as a Professor, Associate Professor, Assistant Professor, Lecturer, Academic Researcher, Technical Trainer, or Senior Computer Science Educator are strongly encouraged to apply.

Key Responsibilities

Develop structured educational content across Computer Science, Programming, Software Engineering, and related technology subjects.

Create and review course outlines, lesson plans, lecture material, video scripts, presentations, assignments, quizzes, assessments, and practical exercises.

Cover topics such as C, C++, Python, Java, Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks, Software Engineering, Cloud Computing, AI/ML, and related areas.

Explain complex theoretical and technical concepts in a simple, accurate, and learner-friendly manner.

Design learning pathways progressing from fundamentals to intermediate and advanced topics.

Create practical programming examples, coding demonstrations, projects, case studies, and problem-solving exercises.

Review existing educational content for technical accuracy, academic quality, clarity, structure, and relevance.

Research new technologies and industry developments and recommend new courses, modules, and educational topics.

Develop interview-preparation questions, conceptual exercises, university-style problems, and project-based learning material.

Ensure consistency in terminology, coding standards, academic depth, and teaching quality across different courses.

Collaborate with content and production teams to convert technical material into engaging online learning content.

Identify difficult or commonly misunderstood concepts and develop clearer explanations, examples, diagrams, and analogies.

Contribute to the long-term development of a high-quality technology education platform and growing library of computer science learning resources.Who can apply:Only those candidates can apply who:have minimum 1 years of experienceare Computer Science Engineering studentsSalary:₹ 2,01,000 - 2,60,000 /yearExperience:1 year(s)Deadline:[hidden]:59:59Other perks:5 days a weekSkills required:Java, JavaScript, Python, Algorithms, Teaching, English Proficiency (Spoken), English Proficiency (Written), Hindi Proficiency (Spoken), Operating Systems and Online TeachingOther Requirements:Professor, Associate/Assistant Professor, Lecturer, or experienced Computer Science educator.Preferably holds a PhD, M.Tech, ME, MSc, MCA, or equivalent qualification.Strong knowledge of programming and core CS subjects such as C/C++, Python, DSA, OOP, DBMS, Operating Systems, and Computer Networks.Experience teaching university-level students and developing course material, assessments, or curricula.Excellent communication skills and ability to explain complex concepts clearly.Experience with online courses, MOOCs, NPTEL/SWAYAM, or digital education content is an advantage.Retired professors and experienced academic professionals are welcome to apply.About Company:KnowledgeCatch is a UK-based, remote-first digital education company focused on creating accessible, high-quality learning experiences in technology. We operate a fast-growing B2B tech training YouTube channel with over 50,000 subscribers, offering simplified, engaging tutorials on topics like networking, cloud computing, and cybersecurity. Our goal is to help learners around the world build real-world technical skills through structured content, downloadable resources, and consistent support.

Responsibilities

We are looking for an experienced Computer Science Professor / Senior Subject-Matter Expert to help develop high-quality educational content for programming, computer science, software engineering, and emerging technology topics.

The ideal candidate should have strong academic knowledge, university-level teaching experience, and the ability to explain complex technical concepts in a clear, structured, and engaging way.

The role involves curriculum development, technical research, course planning, script preparation, content review, coding examples, assessments, and academic quality assurance for digital learning content.

Candidates with experience as a Professor, Associate Professor, Assistant Professor, Lecturer, Academic Researcher, Technical Trainer, or Senior Computer Science Educator are strongly encouraged to apply.

Key Responsibilities

Develop structured educational content across Computer Science, Programming, Software Engineering, and related technology subjects.

Create and review course outlines, lesson plans, lecture material, video scripts, presentations, assignments, quizzes, assessments, and practical exercises.

Cover topics such as C, C++, Python, Java, Data Structures & Algorithms, OOP, DBMS, Operating Systems, Computer Networks, Software Engineering, Cloud Computing, AI/ML, and related areas.

Explain complex theoretical and technical concepts in a simple, accurate, and learner-friendly manner.

Design learning pathways progressing from fundamentals to intermediate and advanced topics.

Create practical programming examples, coding demonstrations, projects, case studies, and problem-solving exercises.

Review existing educational content for technical accuracy, academic quality, clarity, structure, and relevance.

Research new technologies and industry developments and recommend new courses, modules, and educational topics.

Develop interview-preparation questions, conceptual exercises, university-style problems, and project-based learning material.

Ensure consistency in terminology, coding standards, academic depth, and teaching quality across different courses.

Collaborate with content and production teams to convert technical material into engaging online learning content.

Identify difficult or commonly misunderstood concepts and develop clearer explanations, examples, diagrams, and analogies.

Contribute to the long-term development of a high-quality technology education platform and growing library of computer science learning resources.