Synthetic Data Engineer (ai Data/training)

Hyphen Partners

Seattle, United States
On-site
Design domain-specific synthetic data pipelines
Implement automated quality scoring systems
Manage data pipelines for sft and dpo training
The role involves designing domain-specific synthetic data generation pipelines to ensure high-quality data management

Job Summary

  • The role involves designing domain-specific synthetic data generation pipelines to ensure high-quality data management.
  • Candidates will implement automated quality scoring and de-duplication systems to support model training.
  • The position requires managing data pipelines that feed directly into SFT and DPO training loops.

Matching Summary

The role involves designing domain-specific synthetic data generation pipelines to ensure high-quality data management.

Skills & Requirements

Must-have

  • design domain-specific synthetic data pipelines
  • implement automated quality scoring systems
  • manage data pipelines for SFT and DPO training
  • build large-scale data pipelines using Airflow Spark Ray

Nice-to-have

  • deep knowledge of prompt engineering techniques
  • familiarity with dataset distillation methods
  • experience with bias mitigation strategies

Key Requirements

  • Proven experience building large-scale data pipelines
  • Deep knowledge of prompt engineering for data generation
  • Familiarity with dataset distillation and bias mitigation

Work Rights

Not specified

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