Let me introduce...
With Sonia, doctors are successful doctors. We build and deploy AI-enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re curious, detail-oriented, and eager to learn how applied machine learning works in real products, join us.
We’re looking for a Working Student / Intern (all) to support our Machine Learning team in the area of Automatic Speech Recognition (ASR) for dental and medical applications. This is a hands-on role with a strong focus on data annotation, data quality, and understanding how ASR systems are evaluated and improved in production environments.
This role can be performed in a hybrid setup from our offices in Luxembourg or Berlin.
Hours: Flexible (10-20 hours per week)
Duration: 6 months (with possible extension)
This is what you’ll own
- Data Collection: Record, annotate, and review speech and transcript data for medical and dental use cases.
- Annotation Quality: Correct transcripts, mark domain-specific terminology, and ensure high annotation accuracy.
- Quality Control: Apply structured quality checks to annotated datasets.
- Model Evaluation: Support the evaluation of ASR models and their outputs.
- ML Exposure: Learn how ASR and ML systems are validated, measured, and improved in real projects.
- Automation: Help automate repetitive annotation and validation tasks.
- Collaboration: Work closely with a production-oriented Machine Learning team.
- Product Impact: Contribute directly to improving a live healthcare product.
You’ll thrive in this role if you bring
Must Haves- Student Status: Enrolled Master’s student in Computer Science, Engineering, Linguistics, or a related field.
- Language Skills: Full German proficiency, spoken and written.
- Attention to Detail: High level of accuracy and care when working with data.
- Data Handling: Comfortable working with structured datasets.
- Programming: Experience with Python.
- ML Foundations: Experience with machine learning or deep learning concepts.
- Medical Domain: Familiarity with medical or dental terminology.
- Annotation Experience: Experience with data annotation or annotation tools.
- ASR Knowledge: Exposure to speech recognition or audio data processing.
- Automation Mindset: Interest in scripting or automating repetitive tasks.
Why you’ll love working with us
- Hands-on experience with production-grade ASR and machine learning systems.
- A collaborative team that values curiosity, learning, and pragmatic problem-solving.
- Flexible working arrangements (remote or hybrid).
- Fair compensation for a working student / paid internship role.
- Close collaboration with experienced Machine Learning engineers.
- The chance to work on products that directly shape the future of healthcare.
Ready to apply?
If you’re curious about applied machine learning, enjoy working with data, and want to gain real-world experience in medical AI, we’d love to hear from you!
I’m Margarita and will be guiding you through the application process.