O
AI

AI Engineering Instructor Curriculum Developer

Outcome School · · $12k

Actively hiring Posted 4 months ago

Outcome School empowers underrepresented young people of color by equipping them with high-quality training in technology and entrepreneurship. Outcome School creates builders of bridges and ecosystems, not just resumes and products. This isn’t just education, it’s empowerment with a pulse.Outcome School empowers underrepresented young people of color to become innovators, problem-solvers, and community builders by providing high-quality training in technology and entrepreneurship. Its legacy will be measured not by graduates alone, but by the ripple effect they create in launching ventures, driving inclusion in tech sectors, and reshaping systems that once excluded them..,Outcome School is a mission‑driven nonprofit empowering youth with the skills to thrive in the future of work. Our AI Engineering track introduces students to the technologies shaping the world — machine learning, deep learning, and large language model (LLM) systems. To expand this program, we’re seeking a passionate AI Engineering Volunteer to help design curriculum, create course materials, and mentor students as they build AI‑powered MVPs and final products.🤖 About the RoleAs an AI Engineering volunteer, you will help students understand how intelligent systems are built — from data to models to real‑world applications. You’ll design beginner‑friendly curriculum, create slides and assignments, and guide students through hands‑on projects involving machine learning, neural networks, and LLM‑powered tools. You’ll also mentor students during MVP Week and Final Product Week, helping them turn ideas into functional AI prototypes.This role is perfect for someone who loves teaching, AI innovation, and empowering young people to build the future.🧠 What You’ll Do
Design and develop curriculum for our Introduction to AI Engineering course.
Create course materials, including slides, assignments, coding labs, and project templates.
Teach or support live sessions with demonstrations, walkthroughs, and Q&A.
Mentor students as they build AI MVPs (Week 6) and final products (Week 12).
Provide feedback on model design, data quality, evaluation, and ethical considerations.
Introduce students to core AI concepts, including
machine learning fundamentals
supervised vs. unsupervised learning
neural networks & deep learning
LLM systems & prompt engineering
responsible AI practices
Collaborate with the Program Manager to ensure curriculum quality and consistency.
Support students during Demo Day, helping them present their AI projects to stakeholders.

🧩 What You Bring
Experience with machine learning, deep learning, or LLM systems.
Familiarity with Python, NumPy, Pandas, scikit‑learn, TensorFlow, or PyTorch.
Ability to explain complex concepts in simple, engaging ways.
A passion for teaching, mentoring, and supporting student growth.
Strong communication and collaboration skills.
(Bonus) Experience creating curriculum, slides, or technical documentation.

🚀 Why Volunteer With Outcome School
Make a meaningful impact on youth exploring AI and emerging technologies.
Build leadership and teaching experience in a supportive environment.
Add curriculum design and AI education to your professional portfolio.
Join a mission‑driven team that values innovation, community, and creativity.
Help students build real AI products they can showcase to future employers.

Show more

Show less

Seniority level

Associate

Employment type

Volunteer

Job function

Education and Training

Industries

Civic and Social Organizations and Non-profit Organizations

Tags & focus areas

Used for matching and alerts on DevFound
Ai Engineer Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.