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AI Technical Mentor - Independent Contractor (US Canada, Europe, MENA, India & APAC Timezones)
About this role
Udacity, now part of Accenture, is seeking experienced AI/ML professionals to join as external, part‑time technical mentors. The role involves supporting learners in Udacity’s School of Artificial Intelligence by providing 1:1 coaching, deep-dive technical sessions and group Q&A sessions. Mentors work as independent contractors across various time zones including US, Canada, Europe, MENA, India and APAC. The position targets individuals with strong AI/ML expertise, mentoring passion and the ability to guide learners through projects and course content. Compensation details are provided on request and depend on factors such as location, role and experience.
What you would do
- Conduct one-on-one video mentoring sessions for learners
- Prepare and deliver technical deep-dive sessions with slides and use-cases
- Host group Q&A sessions for learners
- Review learners' prior project work and identify areas of difficulty
- Explain project rubrics and provide examples or walkthroughs when needed
- Assist learners with questions related to course content and projects
- Provide guidance on AI/ML concepts, tools, and best practices
- Share different use-cases and broaden student perspectives during sessions
- Engage with the learning community to support learners and mentors
- Coordinate with the Mentor Success Team as required
What they are asking for
- 5+ years of technical experience in Artificial Intelligence or Machine Learning
- Passion for mentoring and helping others succeed in learning
- Excellent interpersonal and communication skills
- Strong understanding of core AI/ML concepts and trends
- Flexibility to work part-time as an external contractor
- Proficiency in Python and API integration
- Experience with ML libraries (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow)
- Familiarity with LLMs and Generative AI tools
- Experience with prompt engineering and model evaluation
- Knowledge of AI frameworks (e.g., LangChain, LlamaIndex) and concepts like RAG, embeddings, vector databases
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