Member of Technical Staff, Post-Training Research & Data

- Data-pilled. Understand that data quality is the real bottleneck to superintelligence.

- Strong STEM background. You studied Computer Science, Machine Learning, Data Science, Statistics, Math, Engineering, Physics, or a related field.

- Experience building ML systems. You've trained preference models, built data pipelines, or worked on ML infrastructure that runs in production.

- Interested in how AI learns from human feedback. You're excited by solving problems at the intersection of human-model interaction.

- Location: San Francisco, Levi's Plaza. We sponsor visas and handle relocation.

- Work Schedule: Sunday-Friday. Saturdays are yours!

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Compensation: Competitive salary + meaningful equity. You'd be joining at the stage when ownership matters most.