Generative AI Data Engineer Intern
Algorithms · Internship · Shenzhen (work arrangement discussed for the role)
RMB 200–400 / day
Role overview
Support generative-AI training data processing, validation, and automation tooling.
Responsibilities
- Assist with generative-AI data pipelines across collection, cleaning, preprocessing, and quality checks.
- Perform data sampling, annotation coordination, and quality validation for usable and consistent training data.
- Help build data storage and retrieval approaches and automation scripts.
- Work with algorithm teams to improve training-data quality and coverage.
Requirements
- Currently enrolled in an undergraduate or graduate program in computer science, electronic engineering, automation, or a related field.
- Familiarity with Python and foundational engineering practice.
- Familiarity with PyTorch or TensorFlow and the basics of model training and data processing.
- Strong learning ability and execution under guidance.
- Available for at least three months and at least four days per week on site.
Preferred qualifications
- Awareness of DeepSpeed, vLLM, or similar training and deployment tools.
- Coursework, lab, competition, or open-source contributions with work samples or code links.
- Practical experience with generative AI, LLMs, or multimodal data processing.
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