AI Data Infrastructure Engineer

United States - Remote R

USD 100K-150K Mid-level Full Time

@ B...

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Found 3d ago

Tasks

Build evaluation dataset construction pipelines with integrity controls
Build high throughput data loading systems for GPU utilization
Build ingestion systems for multimodal data
Collaborate with ML researchers and engineers 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 and active learning pipelines
Optimize cost and performance using compression formats and caching

Perks/Benefits

Skills/Tech-stack

Education

Bachelor of Engineering | Bachelor of Science | Master of Science

Roles

Regions

North America

Countries

United States

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