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About the Role

We are developing and implementing AI-powered solutions to simplify doctors' daily work, improve patient care, and make healthcare systems more efficient. Join us if you are curious, detail-oriented, and want to learn how applied machine learning works in real products. We are looking for a working student/intern to support our Machine Learning team in 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.

Responsibilities

Record, annotate, and review speech and transcription data for medical and dental use cases.
Correct transcripts, mark domain-specific terminology, and ensure high accuracy.
Perform structured quality checks on annotated datasets.
Assist in evaluating ASR models and their results.
Learn how ASR and ML systems are validated, measured, and improved in real projects.
Support the automation of recurring annotation and validation tasks.
Collaborate closely with a production-oriented Machine Learning team.
Directly contribute to the improvement of an active healthcare product.

Requirements

Enrolled Master's student in Computer Science, Engineering, Linguistics, or a related field.
Fluent German (spoken and written).
High accuracy and diligence in handling data.
Proficient in handling structured datasets.
Knowledge of Python.
Familiarity with Machine Learning or Deep Learning concepts.

Skills

Python
Machine Learning
Deep Learning
Data Annotation
Automatic Speech Recognition (ASR)
Data Quality
Data Collection
Data Review
Transcription
Quality Control
Model Evaluation
Automation

Location

Luxembourg
Berlin
Hybrid

Work Type

Working Student
Internship
Flexible Hours
Part-time
Full-time (for internships)

Experience Level

Student
Entry Level

Education Level

Master's Degree

Salary/Compensations

Fair compensation for working students / paid internship

Benefits

Practical experience with ASR and Machine Learning systems.
Collaborative team environment that values curiosity, learning, and pragmatic problem-solving.
Flexible work arrangements.
Close collaboration with experienced Machine Learning engineers.
Opportunity to work on products that directly shape the future of healthcare.

About the Company

At Sonia, we build more than just a product – we build a team that supports doctors through AI.
We aim to shape the healthcare of tomorrow by seeking individuals who want to design, question, and create new things together – without forgetting to have fun.
We believe teams are strongest when diverse perspectives meet and work towards a common goal.

Equal Opportunity

We welcome everyone – regardless of origin, gender, age, religion, disability, or sexual identity.
We look forward to people with very different backgrounds who want to bring their perspective to our mission.