Working Student – Quality & Data (m/f/d)

About JawBuddy

JawBuddy helps people with jaw pain, teeth grinding and TMJ problems through a guided exercise app. Our app measures jaw movement through the phone camera using computer vision and AR, so users see their progress in real numbers.

We are a small, funded health-tech team with paying customers in Germany. Next up: a B2B platform release in early 2027.

The role

You make sure our app and our numbers can be trusted, and you use AI to do it at a scale one person couldn't before. AI handles the repetitive checks; you handle what needs human judgment, like testing our camera features in the real world.

You work directly with our CTO and founding engineer (~12h)

Data quality (~5h)

Automation with AI (~3h)

What you'll do

Test our computer vision in the real world

Test camera-based jaw tracking across devices, lighting, faces, glasses and beards

Find the conditions where measurements break, and help the team fix them

Own app quality

Own the release checklist for every iOS and Android build

Test accessibility, German texts, performance, slow networks and offline use

Write clear bug reports in Linear, with steps to reproduce and evidence

Keep test evidence documented, as our product requires

Keep our data trustworthy

Review the daily data-quality checks across Amplitude, AppsFlyer, RevenueCat and BigQuery, and investigate what they flag

Find out why two tools disagree, and get it fixed

Keep our tracking plan in sync with what the app actually sends

Automate with AI

Use AI tools to write automated tests (Maestro), generate test cases and run checks

Review what AI produces: you are the person who decides whether it is right

What you bring

Enrolled student, available 15–20 hours a week for at least 12 months

Fluent in English (the app is in German; the team works in English)

Solid SQL

A structured, curious way of testing: you find the edge cases others miss

You already use AI tools (Claude, ChatGPT, Cursor or similar) in your daily work

Nice to have

Test automation (Maestro, Detox, Appium)

Accessibility (WCAG, VoiceOver, TalkBack)

Product analytics (Amplitude, Mixpanel, GA4) or attribution (AppsFlyer)

dbt or Dataform, Git, Python

Interest in computer vision, health tech or medical device quality

What we offer

Real ownership

You own the release checklist, and when you say a build isn't ready, we listen.

Work with AI from day one

You learn how to run quality at scale with AI, a skill few people have yet.

Rare experience

Computer vision, health data and quality in a health product, all in one role.

A path to full-time

After graduation, this role can grow into a Junior QA Engineer or Data Analyst position.

Mentorship

A weekly 1:1 with our CTO.

Fair pay

And hours that fit around your lectures and exams.

How we hire

Send your CV.

A 30-minute call with our CTO.

A short paid trial: we send you a test build of the app, and you spend about 2 hours finding and reporting what's wrong. Use any AI tools you like.

A final conversation, and an offer within a week.