Ai数据工程实习生（训练数据 & 清洗方向）
Tasks
- Build data quality evaluation system
- Clean and label data
- Coordinate data collection
- Define labeling guidelines
- Design training data pipeline
- Extract structured samples from repositories and tests
- Implement data deidentification
- Implement data validation
- Iterate data strategy with model feedback
- Optimize large scale data processing pipeline
- Standardize data formats
- Support data flywheel system
Perks/Benefits
Skills/Tech-stack
Data Deidentification | Data Pipelines | Data Quality | Data Quality Management | Data Standardization | Data Validation | Data cleaning | Data labeling | Instruction Tuning | Python | Quality management | Trajectory Data
Education
Roles
AI | AI Data Engineer | AI Data Engineer Intern | Data Engineer | Data Engineer Intern | Intern
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