Data Quality Engineer — Post-Training AI Pipelines

A leading AI innovation company in San Francisco is seeking a detail-oriented Data Quality Engineer. In this role, you will ensure high standards for data used to train quality models. Key responsibilities include managing data quality for LLMs, working with post-training teams, and developing automated QA systems. Ideal candidates should possess strong engineering skills, proficiency in Python, and an understanding of the impact of data quality on model performance. Competitive salary and benefits are offered. #J-18808-Ljbffr