Fast Facts
Udacity, an Accenture company, seeks experienced AI professionals to serve as mentors for learners in AI programs, delivering engaging sessions tailored to corporate teams.
Responsibilities: Mentors will deliver live AI learning sessions on concepts and practical applications, customize training for different audiences, and facilitate meaningful discussions for real-world AI integration.
Skills: Experience in AI/ML, data science, software engineering, and facilitating training sessions; familiarity with AI concepts and practical applications is essential.
Qualifications: 3+ years in AI/ML or related fields, experience in delivering training or mentoring, and strong communication skills are required.
Location: San Francisco, CA, USA
Compensation: Not provided by employer. Typical compensation ranges for this position are between $100,000 - $150,000.
About Us
Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.
In our mission toward powering careers through tech education, we are doubling down on the support that we offer to our students. As a part of this, we are looking for experienced AI professionals to mentor learners enrolled in our business-focused AI programs.
Our learners are typically managers, executives, and other senior professionals responsible for AI initiatives inside their organizations. They are working through structured Udacity curriculum and applied projects. Mentors are there to deepen understanding, provide context from real-world experience, and help connect course concepts to how AI is actually deployed.
This is not a purely academic role. We’re looking for practitioners who have actually worked with AI in production environments and can speak candidly about what works, what fails, and why.                                        Â
Responsibilities:Â
As an AI Fundamentals & Applied AI Tech Talk Speaker, you will deliver engaging, structured learning sessions that help client teams understand and adopt AI in practical, responsible ways. You will work with our internal team to tailor sessions to the audience’s role, seniority, and learning goals.
You could be responsible for delivering any of the following:Â
- Delivering live AI learning sessions for audiences ranging from 10-100 participants, including entry-level cohorts, cross-functional teams, and leadership groups
- Teaching AI fundamentals in a clear and accessible way (AI vs ML vs GenAI, what LLMs are, limitations, risks, and best practices)
- Demonstrating practical AI use cases that map to real work (productivity, analysis, writing, customer support, engineering workflows, and decision-making)
- Training employees on role-based AI adoption, including how to use AI responsibly and effectively in their current role
- Delivering leader-focused AI sessions that cover strategy, governance, risk, and organizational adoption (not just tools)
- Facilitating Q&A and discussion, helping teams apply concepts to their day-to-day work and current challenges
- Partnering with internal stakeholders to align talk content with audience level, learning objectives, and delivery expectations
- Maintaining high delivery quality and reliability, including preparation, responsiveness, and adherence to session timeline
Required Qualifications:
- 3+ years working in AI/ML, data science, software engineering, or applied AI roles
- Experience delivering at least one of the following:
- internal training
- client workshops
- conference talks
- teaching / mentoring / facilitation
- Comfortable presenting to audiences of 20–200 (or similar scale)
- Strong English communication skills
Preferred Qualifications:
- Experience implementing GenAI solutions (OpenAI, Anthropic, Azure OpenAI, etc.)
- Experience with Retrieval-Augmented Generation (RAG)
- Experience with AI evaluation or model monitoring
- Experience with enterprise AI adoption programs
- Experience teaching non-technical audiences
- Background in security/privacy/compliance
Why should you apply?Â
- Gain recognition for your technical knowledge
- Earn additional incomeÂ
- Contribute to a vibrant, global student communityÂ
- Stay updated on the latest cutting-edge technologies
There are only Limited open positions, so please don’t wait too long to apply!
Note: Technical Mentors work independently and set their own schedule. However, the above-mentioned opportunities are subjected to a specific schedule and agenda. If selected you would be provided with access to the Mentorship Nanodegree program. You are requested to graduate from the Mentorship Nanodegree in order to be onboarded as a Technical Mentor.
