AI Mentor (Independent Contractor) - Business Leader Programs
Udacity · United States
- Hybrid
- Full-time
- $75,000 / year
- United States
Job highlights
- Mentor business leaders in AI programs.
- Share practical AI production experience.
- Explain complex AI concepts simply.
- Guide learners through course projects.
- Discuss AI deployment and value.
About the role
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
- Reinforce and expand on concepts covered in Udacity’s AI business leader programs.
- Guide learners through Udacity course projects, providing structured, actionable advice.
- Share practical industry experience on how AI is deployed, managed, and scaled within organizations.
- Clarify complex AI concepts (e.g., generative models, agentic systems, RAG architectures, model evaluation, governance frameworks) in accessible, business-relevant terms.
- Discuss how AI decisions are made inside organizations, including trade-offs, constraints, and implementation challenges.
- Offer grounded perspective on where AI delivers meaningful value and where it is often misapplied.
- Experience with facilitating structured group sessions for professional audiences is strongly preferred.
You’ll engage with learners who vary in technical fluency, so the ability to adjust your explanations and examples is important.
Required Skills/qualifications
- 5+ years working in AI, Machine Learning, Data Science, or AI Product roles.
- Direct experience deploying AI/ML systems in production environments.
- Familiarity with generative AI (LLMs, RAG, tool use, evaluation) and/or agent-based systems.
- Solid understanding of model evaluation and how data quality impacts outcomes.
- Experience working with business stakeholders or senior leadership.
- Ability to explain technical trade-offs clearly without oversimplifying.
- Strong communication presence and ability to manage group discussions.
Nice To Have
- Experience leading AI initiatives inside an organization.
- Exposure to vendor evaluation or build-vs-buy decisions.
- A background that spans both technical and business responsibility.
- Previous mentoring, coaching, or teaching experience.
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!
Before applying, we would request you to kindly complete the General Information Form if you haven't filled it already.
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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Key skills/competency
- Artificial Intelligence
- Machine Learning
- Data Science
- AI Product Management
- Generative AI
- LLMs
- RAG Architectures
- Model Evaluation
- AI Governance
- Business Stakeholder Management
Skills & topics
- AI Mentor
- Artificial Intelligence
- Machine Learning
- Data Science
- AI Product
- Generative AI
- LLMs
- RAG
- Model Evaluation
- Mentoring
- Udacity
- Accenture
- Tech Education
- Corporate Training
How to get hired
- Tailor your resume: Highlight your 5+ years of AI/ML production experience and business stakeholder engagement.
- Showcase practical AI knowledge: Emphasize experience with generative AI, LLMs, RAG, and model evaluation.
- Demonstrate communication skills: Provide examples of explaining complex technical trade-offs clearly.
- Prepare for discussion: Be ready to share real-world AI deployment, management, and scaling insights.
- Understand the role: Focus on practical application and business value, not just theory.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the role of an AI Mentor at Udacity?
- As an AI Mentor at Udacity, you will guide business leaders through Udacity's AI curriculum and projects. You'll share your practical, real-world experience in deploying and managing AI systems, clarify complex AI concepts in business-relevant terms, and discuss AI decision-making trade-offs and value.
- What qualifications are required for the AI Mentor position at Udacity?
- We require at least 5 years of experience in AI, Machine Learning, Data Science, or AI Product roles, with direct experience deploying AI/ML systems in production. Familiarity with generative AI (LLMs, RAG, etc.), model evaluation, and experience working with business stakeholders are also essential. Strong communication and group discussion management skills are a must.
- Is this a full-time or part-time role? What is the work arrangement for an AI Mentor?
- This is an independent contractor role, meaning you set your own schedule. However, specific opportunities may be subject to a schedule and agenda. You will need to complete Udacity's Mentorship Nanodegree to be onboarded.
- What kind of AI concepts will I be discussing as an AI Mentor?
- You will discuss a range of complex AI concepts including generative models, agentic systems, RAG architectures, model evaluation, and governance frameworks. The focus will be on explaining these in accessible, business-relevant terms and discussing their practical application, value, and challenges in organizations.
- How does Udacity vet candidates for the AI Mentor role?
- Udacity looks for practitioners with proven experience in deploying AI/ML in production. They assess your ability to communicate complex technical concepts clearly to a business audience, your understanding of AI's real-world value and challenges, and your experience in managing group discussions.
- What are the benefits of being an AI Mentor at Udacity?
- As an AI Mentor, you'll gain recognition for your technical expertise, earn additional income, contribute to a global student community, and stay updated on the latest AI technologies.