aimlroles

Tech Talk: AI Fundamentals & Applied AI Mentor

Udacity udacity.com Open · verified Oct 22, 2026
San Francisco Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Udacity. San Francisco · no salary stated · we estimate $183,750–$246,250.

Estimated pay

Udacity has not published a salary for this role. The figure below is our estimate, not theirs.

$183,750 – $246,250
What the middle half of mid-level AI engineering roles in San Francisco paid, among postings that did state a salary.
Worked out from 47 postings that stated pay, median $215,000. Last updated Oct 21, 2026.
RoleAI Engineering
SeniorityMid-level
LocationSan Francisco
PostedFeb 18, 2026 · 8mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Run live AI sessions for groups that may include new learners, cross-functional teams and leadership audiences
  • Make AI, machine learning and generative AI concepts accessible, covering LLM limits, risks and responsible practices
  • Demonstrate work-related AI applications in analysis, writing, customer support and engineering workflows
  • Coordinate with internal partners to shape sessions around audience needs and learning objectives
  • Lead questions and discussion, connecting lessons to workplace challenges while keeping delivery on time

What you bring

  • At least three years of work in AI or machine learning, data science, software engineering or applied AI
  • You have experience presenting through training, workshops, conference talks, teaching, mentoring or facilitation
  • You can speak English clearly and present to groups at roughly the stated scale

Who this fits

This role suits an AI practitioner with production experience who can relate technical concepts to managers, executives and other learners. You choose your working hours, while talks follow a set agenda and schedule. Completing the Mentorship Nanodegree is required for onboarding. US applicants need work authorization that will not require visa sponsorship now or later.

From the employer

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.

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.

Responsibilities:

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:

  • 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?

  • Gain recognition for your technical knowledge
  • Earn additional income
  • Contribute to a vibrant, global student community
  • 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.

Compensation at Udacity, an Accenture company, varies depending on a wide array of factors, which may include but are not limited to location, role, skill set, and level of experience. As required by local law, Udacity, an Accenture company, will provide a reasonable range of compensation.

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

 Accenture Equal Opportunity Statement

Udacity, an Accenture company, is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities, and is committed to providing veteran employment opportunities to our service men and women.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

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