Data Engineering Specialist - AI

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Design and operate advanced data infrastructure powering next-generation artificial intelligence systems. Build scalable pipelines that support AI training, evaluation, and continuous model improvement across diverse data types. Work closely with AI researchers and engineering teams to improve data quality, efficiency, and reliability.

Key Highlights

Design and operate large-scale data pipelines supporting AI training, evaluation, and continuous improvement processes.

Build ingestion systems capable of handling diverse data modalities, including text, images, audio, video, and structured datasets.

Develop data cleaning, deduplication, filtering, and quality assurance processes at significant scale.

Key Responsibilities

Design and operate large-scale data pipelines supporting AI training, evaluation, and continuous improvement processes.

Build ingestion systems capable of handling diverse data modalities, including text, images, audio, video, and structured datasets.

Develop data cleaning, deduplication, filtering, and quality assurance processes at significant scale.

Implement dataset versioning, lineage tracking, and provenance systems to ensure reproducible AI workflows.

Build high-throughput data loading solutions that optimize accelerator and GPU utilization during training.

Develop labeling workflows, active learning systems, and human-in-the-loop processes to improve dataset quality.

Design storage architectures that balance cost, scalability, throughput, and performance requirements.

Create evaluation dataset pipelines with strong integrity controls and contamination prevention measures.

Implement privacy, security, redaction, and consent mechanisms throughout data workflows.

Collaborate with machine learning researchers and engineers to align infrastructure capabilities with AI development goals.

Monitor and improve data quality, pipeline reliability, and system performance through observability practices.

Optimize infrastructure costs through compression strategies, data formats, and caching solutions.

Maintain documentation for data systems, schemas, and operational procedures.

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Technical Skills Required

Python Distributed data systems Large-scale processing

Benefits & Perks

Competitive annual salary range of approximately $100,000 - $150,000

Fully remote work opportunity across the United States

Opportunity to work on cutting-edge AI and data engineering initiatives

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Nice to Have

Experience working with multimodal datasets at scale

Knowledge of data quality tooling, dataset evaluation methods, and AI data governance practices

Exposure to privacy-preserving data systems and regulated data environments

Job Description

This role offers the opportunity to design and operate advanced data infrastructure powering next-generation artificial intelligence systems.You will build scalable pipelines that support AI training, evaluation, and continuous model improvement across diverse data types.The position combines deep data engineering expertise with an understanding of machine learning workflows and large-scale distributed systems.You will work closely with AI researchers and engineering teams to improve data quality, efficiency, and reliability.The ideal candidate will help shape the infrastructure behind high-performance AI applications while solving complex technical challenges.

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