Bright Vision Technologies · Remote

AI Pipeline Engineer at Bright Vision Technologies — Remote

Full-timeRemote$100,000–$150,000/yearPosted 2026-08-03
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Full job description

AI Pipeline Engineer- Remote

Job Title: AI Pipeline Engineer Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience Required: 6+ years

Job Summary We are seeking an AI Pipeline Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency.

Key Responsibilities

  • Design and operate large-scale data pipelines supporting AI training, evaluation, and continual improvement workflows.
  • Build ingestion systems for diverse modalities including text, image, audio, video, and structured signals.
  • Implement data cleaning, deduplication, filtering, and quality assurance at petabyte scale.
  • Develop dataset versioning, lineage, and provenance tracking systems suitable for reproducible training.
  • Build high-throughput data loading systems that maximize GPU utilization during training.
  • Implement labeling workflows, active learning pipelines, and human-in-the-loop data improvement systems.
  • Design storage architectures balancing cost, throughput, and latency across data tiers.
  • Build evaluation dataset construction pipelines with strict integrity and contamination controls.
  • Implement data privacy, redaction, and consent enforcement throughout the pipeline.
  • Collaborate with ML researchers and engineers to align data systems with model development needs.
  • Drive observability of data quality, drift, and pipeline health across the AI data estate.
  • Optimize cost and performance through compression, format selection, and caching strategies.
  • Document data systems, schemas, and operational procedures for broad internal use.
  • Stay current with AI data infrastructure research and emerging open-source tools.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
  • Strong proficiency in Python and at least one JVM or systems language.
  • Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
  • Hands-on experience operating petabyte-scale storage and pipeline systems.
  • Strong understanding of distributed systems, data modeling, and storage formats.
  • Experience with dataset versioning, lineage, and reproducibility for ML workflows.
  • Familiarity with high-throughput data loading for accelerator-based training.
  • Strong software engineering practices including testing, CI/CD, and code review.
  • Excellent communication and cross-functional collaboration skills.

Preferred Qualifications

  • Experience with multimodal datasets at large scale.
  • Familiarity with data quality tooling and dataset evaluation methodology.
  • Exposure to privacy-preserving data systems and regulated data handling.
  • Open-source contributions to data infrastructure projects.
  • Experience supporting frontier model training pipelines.

How to Apply

Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.