Top Tech Jobs & Startup Jobs

Teach and mentor students full-time (40 hrs/week) in AI software engineering. Lead live lessons and Q&A, provide 1:1 support, review projects, give actionable feedback, troubleshoot code, and share industry best practices to help students progress to professional developer level.

Teach and support students in data analysis through live lessons, Q&A, 1:1 calls, messaging, project reviews, and actionable feedback; use Python, SQL, data visualization, and data-wrangling tools to help students complete assignments and develop industry skills.

Teach and mentor cybersecurity students through live lessons, Q&A, 1:1 support, log and incident analysis guidance, project reviews, and written feedback. Explain concepts clearly to beginners, troubleshoot exercises, and share industry best practices to help students progress and meet program standards.

Teach and mentor students in data analysis through live lessons, Q&A sessions, 1:1 video support, written feedback, project reviews, and text-based troubleshooting. Share industry best practices and guide learners to meet program standards while using modern collaboration tools.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check lessons using AI tools, design hands-on projects and rubrics, and iterate with LX designers to meet milestone deliverables over a 4–6 month, ~15–20 hr/week engagement.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check AI-assisted lessons, design hands-on projects, write rubrics and reviewer guides, and iterate with an LX designer. Part-time (15-20 hrs/week) for ~4-6 months.

Teach and mentor students full-time (40 hours/week) in AI software engineering: host live lessons and Q&A, provide 1:1 support, review projects, give actionable feedback, troubleshoot code, and share industry best practices.

Teach and mentor QA students full-time (40 hrs/week): host live lessons and Q&A, provide 1:1 support, review projects, give actionable feedback, troubleshoot code and testing issues.

Author and iterate curriculum for experienced engineers transitioning to system architecture: validate syllabus, define measurable learning objectives, produce and fine-tune lessons with AI tools, design hands-on projects and rubrics, respond to LX feedback, and deliver milestone-based content over a 4–6 month, 15–20 hr/week engagement.

Recruiting part-time Instructors, Authors, and Subject Matter Experts to design and deliver an "AI for Managers" program. Responsibilities include delivering live workshops, creating curriculum and assessments, developing practical exercises and frameworks, reviewing content for accuracy, and supporting program updates. Candidates must translate hands-on AI implementation experience into decision-oriented teaching for senior, non-technical managers and collaborate with instructional designers.