Technical Mentor, AI

📋 Description

• As a technical mentor, your role will encompass three primary responsibilities.

• Conduct 1:1 video calls.

• Facilitate Virtual Technical Deep-Dive Sessions.

• Lead Group Q&A sessions.

• Offer personalized assistance by responding to learner inquiries regarding course material and projects.

• Before each call, mentors are expected to review the students' past project submissions—provided by the Mentor Success Team when available—and/or specific areas of the Nanodegree content or project that the student has indicated confusion or difficulty with.

• For concept deep-dives, mentors should prepare a slide presentation that elaborates on a Nanodegree concept, sharing various use-cases to enhance students' perspectives and understanding, followed by a Q&A session with the learners.

• During project walkthroughs, mentors will come equipped with a slide presentation detailing each component of the rubric to assist learners in grasping expectations and typical challenges they may face. This may include a mentor “grading” a sample submission to illustrate what to look for when reviewing projects.

• Organize regular sessions (via Slack or video) to address learner inquiries related to projects and coursework, with no prior preparation required.

⛳️ Requirements

• Demonstrated technical expertise with over 5 years of experience in the relevant field.

• A strong passion for mentoring and facilitating the success of others in their learning journeys.

• Exceptional interpersonal skills. You thrive on building relationships, communicating effectively, and creating a positive learning atmosphere.

• A comprehensive understanding of the tech industry and emerging trends in AI and associated fields.

• The ability to work part-time as an external contractor while managing your current commitments.

• In-depth knowledge of LLMs, prompt engineering, and agentic reasoning frameworks such as CoT and ReAct.

• Experience in designing and implementing prompt chains, role-based prompts, feedback loops, and iterative prompt refinement.

• Practical experience in building agentic workflows, including task routing, orchestration, sequential workflows, parallel workflows, and reflective AI workflows.

• Capability to design and implement AI agents with tool utilization, API integrations, structured outputs, memory, state management, and database interaction.

• Familiarity with RAG-based agent systems, including both single-agent and multi-agent RAG implementations.

• Knowledge of AI agent evaluation, including testing, debugging, and enhancing agent performance.

• Understanding of multi-agent system design, encompassing orchestration, routing, state coordination, and multi-agent architectures.

• Proficiency in articulating complex Agentic AI concepts clearly through instruction, demonstrations, and learner support.

🏝️ Benefits

• Make a difference by mentoring and contributing to a dynamic, global learning community.

• Exhibit your expertise and gain recognition for your technical knowledge.

• Learn and network with our global community of mentors while staying updated on cutting-edge technologies.

• Earn additional income with the flexibility to work according to your own schedule.