Ai数据工程实习生(训练数据 & 清洗方向)
Tasks
- Build data quality evaluation system
- Collect and clean training data
- Design data annotation standards
- Design model training data pipeline
- Extract structured samples from code and test cases
- Iterate data strategy with model feedback
- Optimize large scale data processing pipeline
- Standardize data formats
Perks/Benefits
- N/A
Skills/Tech-stack
Data Annotation | Data Quality | Data Standardization | Data cleaning | Data pipeline | Instruction Tuning | Python | Trajectory Data
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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