AI Technical Mentor, Udacity

• If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us
• Proven technical expertise with 5+ years of experience in Artificial Intelligence or Machine Learning
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments
• Proficiency in Python and API integration
• Strong understanding of core AI/ML concepts
• Familiarity with LLMs and Generative AI tools
• Experience with prompt engineering and model evaluation
• Working knowledge of ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
• Exposure to AI frameworks (e.g., LangChain, LlamaIndex)
• Understanding of RAG, embeddings, and vector databases
• Ability to build or support AI-driven applications/workflows
• Awareness of AI use cases, limitations, and ethics
• Strong problem-solving and communication skills

Desirable

• Your responsibilities as a technical mentor will be divided into three major tasks
• 1:1 video calls
• Virtual Technical Deep-Dive Sessions
• Group Q&A sessions
• Personal 1:1 Session:
• Provide personalized support by addressing learner questions related to course content and projects
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with
• Technical Deep-Dive Session:
• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects
• Group Q&A Session:
• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required
• Why should you apply?
• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule