AI Education Summer Intern

The Coding School is a non-profit organization dedicated to shaping the future workforce by making emerging tech education accessible to all, especially those underrepresented in the field. TRAIN, The Coding School’s AI initiative, focuses on Machine Learning education for K-12 and beyond and is seeking a Summer Intern to develop and modify curriculum and assist with instructing/TAing to help train the future diverse AI/ML workforce. The AI Education Intern will work closely with TRAIN instructors and curriculum developers to develop new and creative ways to teach/engage students, including updating existing slides, introducing new assignments/projects, acting as a Teaching Assistant for summer camps, and aiding in general curriculum development. 

Candidates for this internship should be passionate about Artificial Intelligence and have expertise in either AI, machine learning, computer science, data science, or a related field. 

The Coding School functions like an early-stage start-up, with each team member wearing multiple hats and working in areas that they may not have prior experience in. No two days look the same, and team members often have to juggle several projects or priorities at the same time. Thus, we are looking for individuals who enjoy fast-paced, dynamic work environments where problem solving, creative thinking, and taking initiative are a must. The position may require evening and weekend work.

Duties may include but are not limited to:

• Updating and developing curriculum content for a variety of AI/ML education programs, including preparation/modification of slides, assignments and exercises;
• Brainstorming new and different ways to creatively teach students AI/ML concepts;
• Serving as an instructor or teaching assistant for camps and workshops, which may involve traveling for in-person programming, such as summer camps.

Required skills / experience:

• Currently pursuing Bachelors, Masters or PhD in computer science, data science, robotics, electrical engineering, or equivalent practical experience with a focus on artificial intelligence or machine learning.
• Experience with or interest and acumen for curriculum development, including slide creation/modification, development of engaging exercises, etc.
• Commitment to advancing diversity, equity, and inclusion in the STEM fields
• Comfort with introductory artificial intelligence and machine learning concepts
• Proficiency in Python, as well as machine learning libraries such as matplotlib, pandas, sklearn, keras, tensorflow, fast.ai, etc
• Experience in AI/ML including university courses, research, or industry experience
• Minimum of 1 year of teaching or tutoring experience (does not need to be AI/ML-related) preferred
• Must be comfortable teaching in English
• Ability to multitask, meet deadlines and perform in a fast paced environment.
• Ability to communicate technical concepts and facilitate across multiple learning mediums, including in-person and virtual learning environments.
• Ability to work independently, as well as in a team environment.

Compensation:

$5,000 stipend, paid bi-weekly during internship

Apply:

Interested candidates should submit their application via Handshake. We thank all those who apply, but only shortlisted candidates will be contacted. 

More About The Coding School:

TCS is a global leader in emerging tech education, ensuring that individuals are prepared with the technical skills needed for the future of work. We work with leading industry partners, such as IBM and Google, and academic institutions, including academics from Caltech, MIT, and Harvard, to develop new models of CS education to truly transform students’ lives. At the core of our mission is the belief that every student - irrespective of the industry they plan to pursue or are currently pursuing - should have foundational knowledge in emerging technologies. Furthermore, we believe we should be forward thinking in our training, insofar as we should be training students with the skills and knowledge necessary for the future of work. Our programs have taught over 50,000 students across 125 countries in 16 specialized subjects, including Artificial Intelligence, Quantum Computing, Data Science, Computational Genomics and more. In particular, we are committed to ensuring the future STEM workforce is diverse, equitable, and inclusive with 55% of our students from traditionally underrepresented backgrounds in STEM. Programs range from small sized programs, such as virtual 1:1 lessons to K-12 classroom workshops, to large-scale programming, like courses for 1,000+ participants.