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.

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

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Data quality (~5h)

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Automation with AI (~3h)

What you'll do

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Test our computer vision in the real world

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

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

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Own app quality

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Own the release checklist for every iOS and Android build

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

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

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Keep test evidence documented, as our product requires

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Keep our data trustworthy

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

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Find out why two tools disagree, and get it fixed

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

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Automate with AI

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

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

What you bring

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

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

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Solid SQL

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

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

Nice to have

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Test automation (Maestro, Detox, Appium)

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Accessibility (WCAG, VoiceOver, TalkBack)

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

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dbt or Dataform, Git, Python

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Interest in computer vision, health tech or medical device quality

What we offer

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Real ownership

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

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Work with AI from day one

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

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Rare experience

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

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A path to full-time

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

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Mentorship

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A weekly 1:1 with our CTO.

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Fair pay

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And hours that fit around your lectures and exams.

How we hire

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Send your CV.

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A 30-minute call with our CTO.

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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.

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A final conversation, and an offer within a week.

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