Data Engineer Intern - Speech and Language Intelligence
Posted Updated
Description
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