AI Data Infrastructure Engineer
United States - Remote
R
USD 142K-213K (estimate) Mid-level Full Time
Tasks
- Build evaluation dataset construction with integrity and contamination controls
- Build high throughput data loading systems for GPU utilization
- Build ingestion systems for multimodal data
- Collaborate with ML researchers on data system needs
- Design and operate large scale data pipelines for AI training and evaluation
- Design storage architectures for cost throughput and latency
- Develop dataset versioning lineage and provenance tracking
- Document data systems schemas and operational procedures
- Drive observability of data quality drift and pipeline health
- Implement data cleaning deduplication filtering and quality assurance
- Implement data privacy redaction and consent enforcement
- Implement labeling workflows active learning and human in the loop improvement
- Optimize cost and performance using compression format selection and caching
Perks/Benefits
Skills/Tech-stack
Active Learning | Apache Beam | CI/CD | Code review | Consent Management | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data provenance | Dataset versioning | Distributed Systems | GPU Utilization | Human-in-the-loop | Multimodal Data | Observability | Python | Ray | Rédaction | Spark | Storage Formats | Testing | The Loop
Education
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