Testet kamerabasierte Gelenkbewegungserfassung und Release-Builds der App, prüft Analytics-Daten und automatisiert Tests mit KI-Tools.
Worum es geht MAIA ist eine KI-Plattform für Unternehmen.
Build AI application components that are ready to be tested, deployed and maintained.
Design the path from a business requirement to a working data and AI system.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Taktile empowers financial institutions to transform into truly AI-native organizations.
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore h
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Job Title: Student Assistant – Robotic Hardware & Software (m/f/d) Location: Berlin, Germany Why this role matters Pushing the boundaries of
Warum dieser Job gelistet ist
Kernaufgaben sind App- und Datenqualität; KI-Nutzung ist eine benannte Aufgabe und Anforderung, aber kein Kernergebnis der Rolle.. Prüfverfahren ansehen
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. About 60 % app and computer vision quality: real-world testing, releases, accessibility, performance About 25 % data quality: making sure analytics data is complete and correct About 15 % automation with AI: building automated tests and checks, and reviewing what they find
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
Enrolled at an EU university with a mandatory internship in your study regulations, or at a Spanish university that signs a convenio for prácticas Available 20 to 40 hours a week, remote, as your university allows 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
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
Compensation: €300 per month 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 Mentorship: a weekly 1:1 with our CTO Hours that fit your studies: 20 to 40 hours a week, as your university requires How we hire Send your CV and your university document (internship requirement, or confirmation that your university can sign a convenio). A 30-minute call with our team. A short trial task: 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. Details Type: mandatory internship (EU university) or prácticas (Spanish university) Hours: 20–40 per week, depending on your university Location: remote within the EU Compensation: €300 per month Start: as soon as possible; prácticas in Spain from December 2026
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. How this internship works We offer this role in exactly two ways: Mandatory internship at an EU university : you are enrolled at a university in the EU and your study regulations require an internship. You send us a document from your university that confirms this.
Start as soon as possible. Prácticas at a Spanish university : you are enrolled at a university in Spain, and the internship runs through your university s internship agreement (prácticas extracurriculares with a convenio), full-time or alongside your studies. Start from December 2026.
We can t offer working-student contracts, voluntary internships or freelance work.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.