Who are we, you ask?
Interviews can be hard, especially at top tech companies like Google, Facebook, and Netflix. Many candidates fall short simply because they aren’t adequately prepared. That’s where we come in. Our acclaimed courses specialize in interview preparation and transitioning into high-demand tech fields such as AI, ML, and Data Science. At Interview Kickstart, current and former hiring managers have guided over 17,000 tech professionals through transformative career journeys, ensuring their success in landing coveted positions. Think of us as “the everything store” for career transitions and interview skill development.
How do we do that, you ask?
We have a structured approach to interview success, which includes:
- Career Accelerator Course
- Comprehensive end-to-end courses and platform
- A roster of over 600+ instructors from leading Silicon Valley companies like Google, Facebook, Amazon, and Netflix
- A holistic approach that includes live classes, mock interviews, personalized coaching, resume refinement, career strategies, and invaluable referrals
What’s more exciting is - we are completely remote, and we are hiring the best people we can find regardless of geography.
About the Role:
We are looking for a detail-oriented and highly knowledgeable Technical Content SME to ensure the accuracy, depth, and industry relevance of our educational content in AI/ML and technical interview preparation. You’ll be a core part of our YouTube Marketing team, helping us deliver high-impact, technically sound content that resonates with a wide audience. This role is ideal for someone with a strong technical background and a passion for content creation and education.
Key Responsibilities:
- Content Accuracy & Depth: Ensure all technical content, including videos and scripts, is accurate, up-to-date, and aligned with industry standards in AI/ML and software engineering.
- Content Collaboration: Work closely with the Content Strategist to develop high-quality scripts, structure video lessons, and shape the educational narrative.
- Video Review & Quality Control: Review recorded content for technical correctness and provide expert insights to enhance clarity and value.
- Expert Representation (Optional): Serve as an on-camera expert in explainer videos, mock interviews, and industry discussions.
Requirements:
- 3–5 years of experience in AI/ML, software engineering, or a related technical field.
- Strong understanding of technical interview processes and content standards.
- Experience reviewing, creating, or contributing to educational or technical content.
- Ability to explain complex concepts clearly and concisely.
- Bonus: Prior experience as a content creator, instructor, or on-camera expert.
- A collaborative mindset with strong attention to detail.
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