Get more replies from employers
Send a job-specific resume in minutes.
TalentSprint is seeking experienced Computational Thinking Trainers for session-based engagements with first-year B.Tech students. The role focuses on teaching algorithmic problem-solving independent of language, building structured thinking and problem-solving skills.
Responsibilities include delivering instructor-led sessions, mentoring students, designing assignments and assessments, and collaborating with program teams to ensure learning outcomes are achieved.
Location: Noida (Hybrid)
Engagement Type: Freelance / Contractual (Session-Based)
Work Mode: Hybrid (In-person/Online)
Audience: B.Tech 1st Year Students
Commitment: 4-5 hours per day, 2 days per week (approximately 8-10 hours per week)
We are seeking experienced and passionate Computational Thinking Trainers to deliver engaging learning experiences for first-year B.Tech students. The ideal candidate should be able to teach algorithmic problem-solving concepts independent of any specific programming language, helping students develop structured thinking and problem-solving skills.