About the role
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.
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