Ai数据工程实习生（训练数据 & 清洗方向）
Tasks
- Build denoising data processing
- Coordinate data collection, cleaning, labeling
- Create data quality evaluation system
- Define annotation guidelines
- Design training data pipeline
- Develop structured sample extraction
- Handle edge and failure scenarios
- Implement data deidentification
- Iterate data strategy with model feedback
- Optimize large scale data processing pipeline
- Support data flywheel system
- Validate and standardize data format
Perks/Benefits
- N/A
Skills/Tech-stack
Code Data Processing | Data Deidentification | Data Processing | Data Quality | Data Quality Evaluation | Data Standardization | Data Validation | Data cleaning | Data labeling | Data pipeline | Instruction Tuning | LLM | Large Scale Data | Large-scale | Large-scale Data Processing | Python | Quality evaluation | Trajectory Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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