Safety Research Scholar - Human Frontier Labs
Scale AI · Canada; United Kingdom; United States · Remote (Growth only)
Infrastructureremote
At a glance
Highlights
- Own a substantial AI safety project end-to-end with weekly mentor guidance.
- Build evaluations probing failures, deception, and long-horizon agent behavior.
- Publish frontier safety results aimed at top venues like NeurIPS and ICML.
Ideal candidate
PhD-track researcher driven to reduce catastrophic AI risks who thrives with high-level guidance and turns open safety questions into rigorous, reproducible experiments.
Requirements
- Pursuing or completed PhD in CS, ML, statistics, mathematics or related field or equivalent track record
- Motivated by reducing catastrophic risks from advanced AI systems
- Interested in technical safety research such as alignment evaluations, AI control, monitoring or multi-agent safety
- Able to make progress with high-level guidance
Lab profile
About Scale AI
AI data foundry providing high-quality data for training, fine-tuning, and evaluating AI systems.
What they build
- Training, fine-tuning, and evaluation data for frontier models
- Multimodal and coding data for audio, image, video and world models
- Custom AI applications for enterprise and global public sector
Known for
- Leading data partner for frontier model developers
- Trusted across enterprise, defense and public sector
- Depth in multimodal, coding and physical AI
- End-to-end capability from strategy to delivery and evaluation
Key facts
- Founded in 2016
- Headquartered in San Francisco, California
- Private company backed by Accel, Founders Fund, Index Ventures, Nvidia and Meta
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