Aigc图像数据工程师
Tasks
- Build image and multimodal annotation guidelines
- Build multimodal data lifecycle
- Collaborate with algorithms training and product teams
- Construct train validation datasets and sampling strategies
- Deduplicate images and near duplicates
- Define data quality metrics and dashboards
- Design data acquisition cleaning labeling evaluation
- Detect sensitive content and apply safety rules
- Develop ETL data pipelines and orchestration
- Establish data compliance governance
- Implement weak labeling and labeling schema
- Manage data versioning and feedback iteration
- Monitor distribution drift and annotation consistency
- Optimize large scale data storage caching indexing
- Perform data quality filtering and anomaly detection
Perks/Benefits
- N/A
Skills/Tech-stack
AHash | Airflow | Annotation Schema | CLIP | DHash | Data Compliance | Data Filtering | Data Lineage | Data Quality | Data Versioning | ETL | Faiss | HDFS | IAA | Labeling Quality Control | Lmdb | Milvus | NSFW | OCR | OpenCV | PHash | PIL | Pandas | Parquet | PyArrow | Python | Quality Control | S3 | Sensitive data | Sensitive data filtering | Vector Search | WebDataset
Education
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