AquinTutor
/Individual contributor at the frontier
Senior Learning Scientist
Learning Science & Outcomes
Compensation
INR 22 - 38 LPA.
Engagement
Full-Time
Permanent role. Full-time commitment. Remote-first, with periodic in-person off-sites.
Scope of role
Own complex problems end-to-end. Set technical direction. Mentor mid and junior teammates.
01 — The role
Why this role exists at EduRankAI
Run the learning-outcomes research inside AquinTutor. Design quasi-experimental studies, run pre/post assessments, defend the numbers we publish. You are the company's internal challenger on outcome claims.
02 — The work
What you will own
- 01 Design and run quasi-experimental learning-outcomes studies.
- 02 Author the methodology behind every published outcome claim.
- 03 Pair with curriculum on what to measure and how.
- 04 Author internal whitepapers + public outcome reports.
- 05 Train product + content teams in learning-measurement rigour.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have authored at least one peer-reviewed or seriously scrutinised learning-outcomes study.
- → You can read an ed-tech outcome claim and identify the load-bearing assumption.
- → You write evaluations that survive hostile review.
- → You have killed an outcome claim because the evidence was thin.
05 — How we work
The EduRankAI environment
Remote-first, async-first
Work from anywhere. We optimise for deep work, not face time. Periodic in-person off-sites for the full-time team.
High autonomy, high standards
We hire adults and trust them. You will be expected to set your own goals, communicate clearly, and ship.
Builders, not bureaucrats
We optimise for clarity over process. Make the call, ship the work, write up what you learned.
Bharat-built, globally ambitious
We are an Indian frontier AI lab. We build for India first and the world second — in that order.
06 — 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.
Application fee
CHF 10
Senior tier
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. The small per-application fee covers the real cost of processing your application — human review, identity verification, infrastructure, reviewer time. It buys us the right to be honest. Genuine financial hardship? Request a fee waiver inside the application — reviewed individually within 5 business days, with no record in your file and no second-class treatment of waiver-granted applications.
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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