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AI Technical Mentor – Independent Contractor
Udacity MarketingAI Technical Mentor providing personalized support and mentoring in AI and Machine Learning fields for Udacity, now an Accenture company. Working with learners through various online mentoring formats.
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnTensorflow
About the role
Key responsibilities & impact- 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
What you’ll need- 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
- Experience with cloud platforms (AWS, GCP, Azure)
- Hands-on end-to-end AI/ML or GenAI projects
Benefits
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Artificial IntelligenceMachine LearningPythonAPI integrationprompt engineeringmodel evaluationNumPyPandasScikit-learnPyTorch
Soft Skills
mentoringinterpersonal skillscommunicationproblem-solvingrelationship buildingpositive learning environmentflexibility