The Special Projects Associate will provide specialized operations support for research teams, including managing complex logistics and coordinating with external experts. Responsibilities also include supporting data projects, organizing symposiums, and managing external communication channels.
The role involves managing end-to-end employee and contractor onboarding, offboarding, payroll, and compliance processes. You will also support staff needs, maintain internal policies, and drive strategic HR initiatives as the organization scales.
The specialist will own security protocols, manage access across core platforms, and identify and remediate security risks. They will also partner with engineering and research teams to implement practical security standards without creating unnecessary friction.
The researcher will analyze and critique AI benchmarks every two weeks to evaluate their methodologies and implications for AI capabilities. They will publish public-facing reports and maintain them as new models and benchmark versions are released.
Lead the creation and curation of a benchmark suite to evaluate frontier AI models on real-world office tasks. Design grading rubrics, conduct quantitative and qualitative assessments, and communicate findings through public reports and data visualizations.
Implement and maintain AI benchmarking infrastructure using the Inspect library to evaluate frontier AI models. Collaborate with researchers and analysts to develop new benchmarks and integrate evaluation data into research products.
Lead the UI/UX and data visualization strategy to translate complex research into intuitive digital products and dashboards. Manage the end-to-end design process for the website and mentor other designers and contributors.
The Designer will create responsive user interfaces, dashboards, and data visualizations to communicate complex research. Responsibilities include developing design specifications, mock-ups, and prototypes while ensuring visual consistency across design systems.
Researchers will lead projects to improve the understanding of AI capabilities, trends, and trajectories through data analysis and benchmarking. They are responsible for producing reports, maintaining datasets, and developing new research investigations.
