Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Deliver live AI learning sessions for business audiences, teach AI fundamentals and practical use cases, train role-based and leader-focused AI adoption, facilitate discussions/Q&A, and partner with stakeholders to tailor content and maintain high delivery quality.

The role involves mentoring learners in cloud computing, conducting 1:1 and group sessions, and providing technical deep-dives on AWS technologies.

Act as a part-time external technical mentor for Claude/agentic-AI programs: run 1:1 calls, technical deep-dive presentations, and group Q&A; review student projects, provide guidance on Claude ecosystem, agent design, prompts, production AI systems, and best-practice engineering.

Provide weekly 1:1 virtual mentoring and daily forum support to Nanodegree students, help unblock course progress, run community activities (webinars, quizzes), escalate issues, and foster engagement and learning.

As a Technical Mentor at Udacity, you will provide personalized support through video calls, conduct technical deep-dive sessions, and host group Q&A sessions to assist learners in AI and related fields.

Mentors provide technical support to learners in their online Nanodegree journey, host live sessions, and facilitate community engagement.

As an AI Technical Mentor, you'll provide personalized support, conduct technical deep-dive sessions, and host group Q&A to guide learners in AI and ML topics.

As a Session Lead, you will guide students through their Nanodegree programs, answer technical questions, manage sessions, and provide feedback on their progress while ensuring a supportive learning environment.

As a Cloud Technical Mentor, you will provide personalized support, conduct deep-dive technical sessions, and host group Q&A sessions, leveraging your extensive cloud expertise to mentor learners.

As a Data Technical Mentor, you'll provide personalized support in data topics through 1:1 video calls, deep-dive sessions, and group Q&As, fostering learning for students in data-related Nanodegrees.