Responsibilities This role is not just an internship. It is an entry point into world‑class AI collaboration.
Your Impact & Responsibilities As a Data Engineer Intern
, you will operate as a hands‑on contributor to our ASR data pipeline, not a passive assistant. You will: Engineer, preprocess, and quality‑validate large‑scale speech and text datasets that directly influence ASR model performance
Design and execute data transformations including text normalization, data chunking, format conversion, and structured analysis Optimize audio pipelines through segmentation, merging, transcoding, and subtitle/caption quality assurance Strengthen data pipelines by improving robustness, traceability, and reproducibility through clean logs and documentation
Proactively identify data quality risks, triage issues at scale, and close the feedback loop with clarity and ownership Qualifications Your work feeds production speech models
, not toy datasets. Qualifications We are looking for individuals who value engineering rigor, data quality, and long‑term growth.
Required: Undergraduate or Master’s student from a top‑tier university (Top 10 preferred) in Computer Science, Electrical Engineering, Statistics, Data Science, or related fields Strong Python fundamentals, with the ability to write, debug, and improve data‑processing scripts
High ownership mindset with exceptional attention to data quality, standards, and reproducibility Able to commit to 6 months or longer to ensure meaningful technical depth and impact Nice
To Have Exposure to Speech, ASR, or NLP through coursework or hands‑on projects
Experience with speech/audio processing, data collection workflows, or multimedia QA (e.g., captions/subtitles) Chinese language proficiency is a strong plus, enabling smoother collaboration with cross‑regional teams