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upGrad International is seeking a Technical Content Intern in Mumbai to bridge SMEs and our AI-driven video production pipeline. You will convert graduate-level AI concepts, from linear algebra to neural network optimization, into structured educational material with strong editorial rigor.
You will review scripts for language and technical accuracy, translate them into detailed PPS with visuals and rendering cues, and collaborate with the Content Lead to refine AI-generated previews for clarity
Job Description – Technical Content Intern [Applied AI]
Position-Internship
Job Location-Mumbai
Qualification-B.Tech/M.Tech/BSc/MSc in CS, Data Science, Mathematics, or related field [Pursuing or recently graduated]
Duration-m3-6 months (with an option to convert to permanent based on performance)
Role Overview
upGrad is building AI-native learning experiences for millions of working professionals globally. As a Technical Content Intern, you will act as the crucial bridge between our Subject Matter Experts (SMEs) and our AI-driven video production pipeline. You will transform complex graduate-level AI concepts, from linear algebra to neural network optimization, into structured, visually coherent educational content. This is a hands-on role for someone who understands technical concepts and possesses the editorial rigor to teach them effectively.
Job Description
Review raw educational scripts provided by SMEs for language, flow, and technical accuracy. Translate these into Pre-Production Scripts (PPS), detailing precise visual descriptions and rendering cues for an AI video pipeline utilizing tools like Remotion, Manim, and HeyGen.
Collaborate with the Content Lead to review AI-generated video previews, providing structured, actionable feedback to improve visual fidelity and instructional clarity before final rendering.
Audit and refine live session learning materials. In cases where SMEs are strictly reviewers, you will independently draft presentation decks, Python code demonstrations, and applied lab assignments, iterating them based on SME feedback.
Skills required