AI is making it trivially easy for students to skip the hard parts of research. This role is to build an AI research coach for high school students that teaches the research process through guided coaching — not ghostwriting — so students come out stronger thinkers, not just better at hiding AI use.
A guided workflow for question refinement, source review, note-taking, drafting support, and rubric-aware feedback.
Citation verification grounded in real scholarly sources rather than generic model claims.
A transparent authorship log that distinguishes student-written work from AI scaffolding or suggestions.
Optional sandboxed experimentation or code execution where computational work is part of the research process.
Own the user journey from early research question to draft refinement and evidence review.
Design guardrails that enforce coaching behavior instead of drifting into ghostwriting.
Build multi-step agentic workflows with strong traceability, citation grounding, and failure handling.
Talk to students, parents, or educators to learn where the process helps versus harms.
Work with AI Fund's build team on product positioning, pedagogy, and technical tradeoffs.
Edtech experience or a personal connection to research education.
Experience building code sandboxes, notebook-style tools, or pedagogy-heavy products.
Experience with LangGraph, Claude Agent SDK, or similar workflow tooling.
A builder who cares about teaching and believes AI should make students stronger thinkers, not better cheaters.
Someone who wants a product problem that combines deep workflow design, safety, and clear commercial demand.
This is a 12-week, full-time, on-site residency in Mountain View, California.
Not every residency becomes a company. The goal is to pressure-test the idea quickly and honestly with real users and customers.
You will be building an AI Fund idea, not bringing your own startup idea into the program.
The process typically includes a Builder Event or equivalent working conversation, then a 48-hour Builder Challenge, then panel review with AI Fund build leadership.
The compensation is intentionally modest during the residency because the upside, if the idea works, is a founder-level role.
$10,000/month for 12 weeks ($30,000 total). This is a contract role during the residency. If the build leads to a funded company, the next step is a founder-level role with meaningful equity upside.This is a 12-week, on-site residency in Mountain View, CA ($10K/month). You will work directly with Andrew Ng to take this idea from concept to working product. If the idea validates, you become a co-founder. AI Fund writes a $1M check at a $4M valuation. We are only considering candidates within commuting distance from Mountain View. As part of the interview process, you will be asked to complete a Builder Challenge.
AI Fund is a venture studio. We collaborate with entrepreneurs, venture funds, and corporate partners to create great companies that move humanity forward.
Founded by Andrew Ng, AI Fund is backed by over $370 million. As a venture studio, we work alongside entrepreneurs, venture funds, and corporate partners to build new companies rapidly and increase their odds of success. The studio is supported by top-tier VCs and partners including Sequoia Capital, NEA, Nikkei, and AES.
