# Member of Technical Staff, Post-Training Research at Intelligence

- Company: Intelligence
- What the company does: The world’s most realistic model evaluations. Trusted by the leading frontier labs. Backed by Index.
- Company website: https://www.intelligence.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Posted: 2026-08-03
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/intelligence/f6c99071-6f2e-49e0-b1ca-9bc4d532d3d2
- Page: https://www.1752.vc/careers/jobs/intelligence-member-of-technical-staff-post-training-research/

## About the role

You'll invent new ways to detect and scale the data that makes frontier AI models smarter. As frontier models continue to improve, model capability is increasingly driven by the quality of training data. You'll develop scalable systems that generate, curate, and improve high-quality supervision across coding, multimodal, and agentic tasks.

## What they're looking for

- 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

Tags: Engineering