Responsibilities
- 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.
- 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.
- Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.
Requirements
- 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
Nice to Have
- Experience with cloud platforms (AWS, GCP, Azure)
- Hands-on end-to-end AI/ML or GenAI projects
Benefits
- 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
Work Arrangement
Remote (Worldwide) — US, Canada, Europe, MENA, India, APAC
Additional Information
- Part-time
- External contractor
