Safety Research Scholar - Human Frontier Labs
About the role
Cohort safety research scholar role focusing on empirical AI safety foundations. Mentored, project-based research across selected AI safety areas with responsibilities from hypothesis to experiments, evaluation, and dissemination.
Responsibilities
- Own research end to end: Turn a high-level safety question into hypotheses, baselines, and controlled experiments, and produce work that others can inspect and build on.
- Build the measurement: Implement and debug evaluation harnesses, agent environments, datasets, monitoring methods, or post-training experiments.
- Exercise research judgment: Identify confounds, separate what a model can do from what it tends to do, make sense of negative results, and decide what to try next without step-by-step direction.
- Make the work legible: Produce reproducible code, experiment logs, analysis, and precise technical writing. External outputs, where appropriate, remain subject to research, security, and communications review. Outputs also include research papers, which will be submitted to top ML conferences (NeurIPS, ICML, ICLR).
Qualifications
- Pursuing or have completed a PhD in CS, ML, statistics, mathematics, or a related field (or equivalent track record).
- Ability to progress with high-level guidance, including implementing, debugging, getting unstuck, interpreting results, and proposing next experiments.
- Ability to communicate research clearly and handle confidential information and internal systems responsibly.
Skills
Benefits
- Remote within the United States (including California and New York).
- Part-time Internship structure.
- Compensation: $100/hour.
About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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