AquinTutor
/Learn at the frontier
AquinTutor Intern — AI Tutor
AI Tutor Internship
Engagement
Internship
Full-time and on-site at our campus. Structured, hands-on mentorship. Remote only in rare, pre-approved cases.
Scope of role
Contribute to live projects. Shadow senior practitioners. Build a portfolio that matters.
Please note this is an unpaid internship — the offer is real work, mentorship and experience at the frontier, not a stipend.
01 — The role
Why this role exists at EduRankAI
3 months on the AI Tutor team. Build an eval harness, run prompt experiments, document the wins and losses. Real applied LLM work paired with Staff and Senior ML engineers. The bar is "you build an eval the team continues to use after you leave".
02 — The work
What you will own
- 01 Build at least one eval harness component the team continues to use.
- 02 Run a prompt or retrieval experiment with proper methodology.
- 03 Author a methods + findings report.
- 04 Pair daily with the Senior + Staff ML team.
- 05 Present findings at end-of-internship review.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have built at least one project on top of an LLM API that another person has used.
- → You write evals on purpose, not as an afterthought.
- → You can read an ML paper carefully and describe what it gets right and where it stretches.
- → You write clearly about quantitative results.
- → You can describe an eval design you would defend in writing for 30 minutes.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 04
Offer or honest no
If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.
Before you start
What we will collect. What it costs. What we will not do with it.
We will collect
- Name, email, phone — Account + application updates. No marketing.
- Resume / portfolio link — Human review of your work.
- Date + place of birth — Identity verification only.
- Your written responses — Selection rubric. Read by humans.
- Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.
We will never
- Sell your data
- Share with third-party recruiters
- Use for advertising
- Train models on it
- Send marketing email
Our situation
EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.
Ready to apply?
We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.
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