Intern - Technical Content Research & Learning

Role & responsibilities :

Technical Content Research -

• Research DSA, software engineering, system design, backend, databases, distributed systems, AI engineering, and other relevant technology topics for upcoming videos.
• Use documentation, engineering blogs, papers, codebases, interview discussions, benchmarks, and other credible technical sources to build accurate context.
• Break down difficult concepts and identify useful examples, common misconceptions, edge cases, analogies, and practical insights.
• Support technical fact-checking of ideas, examples, code snippets, diagrams, and claims before they are used in content.
• Prepare structured research notes and briefs covering key concepts, examples, references, and possible teaching flow.

Content Strategy & Ideation -

• Help identify high-value topics based on learner problems, interview preparation needs, software-engineering relevance, emerging technology, and gaps in existing educational content.
• Support weekly and monthly content planning across DSA, System Design / Software Engineering, and AI Engineering.
• Study strong technology educators, creators, courses, communities, and content formats to understand what makes technical education clear and engaging.
• Work with the creator to turn research into video ideas, hooks, outlines, and content series.
• Review learner feedback and basic YouTube performance data to help identify topics and formats worth exploring further.

Learning Design & LMS Support -

• Support the design of learning journeys for students who discover a topic on YouTube and continue learning it on the LMS.
• Help break broad topics into modules, lessons, prerequisites, practice exercises, checkpoints, assignments, and revision paths.
• Support the creation or review of DSA problem sets, examples, coding exercises, concept checks, and assessments aligned with learning objectives.
• Identify areas where learners may struggle and suggest hints, worked examples, prerequisite refreshers, and progressive difficulty.
• Help maintain continuity between free YouTube content and deeper LMS learning.

Collaboration & Execution -

• Work closely with the creator during ideation, research, outlining, and curriculum design.
• Coordinate with video editors, designers, platform teams, or other collaborators when technical context is needed.
• Maintain organised research repositories, source lists, topic backlogs, curriculum documents, and content calendars.
• Stay curious about new engineering ideas, tools, architectures, research, and discussions across the software industry.

What We Are Looking For -

• Strong foundation in Data Structures & Algorithms and comfort with solving basic to intermediate problems.
• Good understanding of core computer-science and software-engineering concepts; exposure to operating systems, databases, networking, backend engineering, APIs, caching, concurrency, or distributed systems is a plus.
• Ability and willingness to learn unfamiliar technical topics independently. Good research instincts and the ability to identify credible technical sources.
• Ability to simplify technical concepts clearly without losing correctness. Strong written communication, structured thinking, attention to detail, and curiosity.
• Genuine interest in teaching, technology, and understanding how people learn.

Preferred candidate profile -

• Currently pursuing a Bachelor's degree in Computer Science, Information Technology, or a related engineering discipline, or equivalent demonstrated technical ability.
• Students with 0-2 years of relevant exposure through coursework, projects, competitive programming, technical blogging, open-source work, teaching, mentoring, or developer communities are welcome.
• Prior experience with LeetCode / interview-style DSA, competitive programming, teaching, mentoring, technical content, or software projects will be an advantage.
• Educational-content experience is useful, but strong technical fundamentals and research ability matter more than prior social-media experience.

This Internship May Be a Great Fit If -

• You enjoy spending time understanding why a system behaves a certain way rather than stopping at the first explanation you find.
• You can solve a DSA problem and are interested in explaining the thought process behind the solution.
• You naturally ask questions such as why does this work?, “when would this fail?”, “what changes at scale?”, and “how would I teach this to someone seeing it for the first time?”.
• You would enjoy helping build not just individual videos, but a broader technology-learning ecosystem around a creator-led channel.