Data Engineer Intern - Speech and Language Intelligence 4 months ago

CSI Interfusion; Quezon City; On-site; PHP 201,000 - 290,000; Full time

Job summary

CSI Interfusion is seeking a Data Engineer Intern to contribute hands-on to our ASR data pipeline. You will engineer, preprocess, and quality-validate large speech and text datasets that directly influence ASR model performance.

You will design data transformations, optimize audio processing pipelines, and improve robustness and reproducibility through clean logs and documentation. A Top 10 university student with strong Python skills is highly valued.

Qualifications

• Strong Python fundamentals, able to write, debug, and improve data-processing scripts.
• High ownership mindset with attention to data quality, standards, and reproducibility.
• Able to commit to 6 months or longer for meaningful depth and impact.
• Exposure to Speech, ASR, or NLP through coursework or projects is a plus.

Responsibilities

• Engineer, preprocess, and quality-validate large-scale speech and text datasets that influence ASR model performance.
• Design and execute data transformations: text normalization, chunking, format conversion, and structured analysis.
• Optimize audio pipelines through segmentation, merging, transcoding, and subtitle/caption QA.
• Strengthen data pipelines with robust logs, documentation, and traceability.
• Proactively identify data quality risks and triage issues at scale with clear ownership.

Skills

Python

Data quality

Ownership mindset

Data preprocessing

Education

Undergrad or Master’s student in CS/EE/Statistics/Data Science

Tools

Data pipelines

ASR/NLP exposure

Job 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