EDIT AI Summer Internship Program
A hybrid computational research internship where high school students with prior machine learning exposure use Python and AI/ML techniques to analyze biomedical data such as pathology images and genomic sequences, mentored by researchers at partner sites including Cedars-Sinai Medical Center.
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Algoverse AI Research Program
A 12-week online AI research program pairing high school and college students in small teams with mentors from institutions like Stanford, OpenAI, Meta FAIR, and Google DeepMind to develop LLM-reasoning research submitted to venues such as NeurIPS and ICLR; requires Python experience and a $3,325 fee with need-based and merit scholarships.
Genius Olympiad (AI Category)
A category new for 2026 at the international GENIUS Olympiad where high school students design AI agents using machine learning and data analysis to address environmental sustainability issues, with finalists presenting at St. John Fisher University in Rochester, NY.
Fire Hacks 2026
A free one-day in-person hackathon for high school students hosted by nonprofit CodeStarters at Zoho HQ in Pleasanton, CA, featuring a dedicated AI Track where students build AI apps, agents, and copilots with mentor support.
NVIDIA Deep Learning Institute – Self-Paced Courses
Free and paid self-paced online courses from NVIDIA's Deep Learning Institute covering generative AI, deep learning, and data science fundamentals, with hands-on GPU-accelerated labs and certificates of competency for select courses.
Polygence – Artificial Intelligence Research
A 1-on-1 mentorship program pairing high school students with expert or PhD mentors to design and complete an original AI/machine learning research project of their choosing, culminating in a paper, GitHub portfolio, or conference-style presentation.
RISE Research – Machine Learning Research Mentorship
A 10-week 1-on-1 research mentorship program pairing high school students with PhD mentors from institutions like MIT, Oxford, and Carnegie Mellon to produce original, publishable machine learning research, with a stated 90% publication success rate.