Staff Data Quality Engineer, LLM Post-Training

B Capital; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive medical, dental, vision insurance

Fully paid parental leave

Paid time off

Daily lunch and dinner provided

Job summary

B Capital is seeking a data engineer to ensure high data quality for training AI models. You will own the upstream data quality for LLM post-training and design automated QA methods in a collaborative environment. Ideal candidates will have strong engineering skills, a detail-oriented approach, experience with Python, and proficiency in building ML workflows. The role offers top-tier compensation, comprehensive health benefits, and a supportive work environment focused on career impact.

Qualifications

• Strong engineering fundamentals with experience building data pipelines.
• Detail-oriented with an analytical mindset.
• Solid understanding of data quality's impact on training.

Responsibilities

• Own upstream data quality for LLM post-training.
• Partner with research teams to translate requirements into measurable quality signals.
• Design and scale automated QA methods.

Skills

Proficiency in Python

Experience with large datasets

Automated evaluation systems

Excellent communication skills

Job description

B Capital is seeking a data engineer to ensure high data quality for training AI models. You will own the upstream data quality for LLM post-training and design automated QA methods in a collaborative environment. Ideal candidates will have strong engineering skills, a detail-oriented approach, experience with Python, and proficiency in building ML workflows. The role offers top-tier compensation, comprehensive health benefits, and a supportive work environment focused on career impact.