data
Posted Apr 14Research Scientist - Post Training
at AfterQuery
San Francisco, United StatesOn-site
Requirements
- We serve every frontier AI lab with the mission of delivering the best data to power the best models.
- This is a rare opportunity to join a company at a defining moment in AI.
- We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI and are based in San Francisco.
- This includes SFT and RL-based post-training, where you’ll measure how different data sources shift capability, generalization, and alignment.
- What We're Looking For - Strong familiarity with LLM training and evaluation methodologies.
- - Great candidates are undergrad research or master's research (but haven't done a phd).
Benefits
- Since raising our $30M Series A at a $300M valuation, AfterQuery has grown well over a $100M revenue run rate.
- Compensation Structure: - Annual target cash compensation of $250-450K + meaningful equity - Comprehensive
- benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)
Contact
- ABOUT AFTERQUERY AfterQuery https://www.afterquery.com/ is an applied research lab curating data solutions for foundation model development.
Additional details
- In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.
- Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve.
- The Role Your job is to prove that our data works.
- You will design and run training experiments that isolate the impact of our datasets on model behavior.
- Working closely with partner labs, you will turn our datasets into clear, defensible evidence: this data → this improvement → under these conditions.