Part Time Instructor - Applied Gen AI (US)

Interview Kickstart is a premier career transformation platform turbocharging tech careers through AI upskilling.

Founded in 2014 in Santa Clara by Soham Mehta, ex-Box Engineering Leader, and Ryan Valles, a transformative P&L leader and former CEO with a track record of scaling ventures, Interview Kickstart’s vision is to help every tech professional thrive in today’s fast-evolving tech industry.

With 40+ domain-specific courses—from foundational Machine Learning and Generative AI to Agentic AI, System Design, and DSA—Interview Kickstart equips engineers, PMs, data professionals, and tech leaders to accelerate their careers. Its 600+ instructors—industry practitioners, hiring managers, and senior engineers from FAANG+ companies—bring real-world insight and cutting-edge expertise into every classroom.

Beyond upskilling, Interview Kickstart offers end-to-end career support. Personalized mock interviews, resume and LinkedIn branding, career coaching, salary negotiation guidance, and performance-based job referrals ensure that your AI upskilling translates into real career breakthroughs. Over 25,000 professionals have already advanced their careers through Interview Kickstart.

Recognized by TIME x Statista and GSV 150 as a top EdTech company, Interview Kickstart is the go-to platform for tech professionals looking to future-proof their careers in the age of AI.

Preferred Qualifications:

Advanced degree (Ph.D. preferred) in Computer Science, Artificial Intelligence, or a related field.

Proven experience in developing and deploying Generative AI

Prior teaching or mentoring experience, particularly in online or remote

Strong programming skills, particularly in Python, with experience in relevant libraries (TensorFlow, PyTorch, Huggingface Transformers).

Excellent communication skills, with the ability to explain complex concepts in an accessible manner.

Responsibilities:

Instruction Delivery: Conduct lectures, workshops, and interactive sessions to teach machine learning principles, algorithms, and Instructors may use various teaching methods, including lectures, demonstrations, hands-on exercises, and group discussions.

Industry Engagement: Staying current with the latest trends and advancements in machine learning and related fields, engaging with industry professionals, and collaborating on projects or internships to provide students with real-world

Research and Development: Conducting research in machine learning and contributing to developing new techniques, models, or applications.

Constantly improve the session flow and delivery by working with other instructors, subject matter experts, and the IK team.

Help the IK team in onboarding and training other instructors and coaches

Have regular discussions with IK’s curriculum team in evolving the

Should be willing to work on weekends/evenings and be available as per the Pacific time zone