About the job
About Arena Intelligence
Arena Intelligence serves as the premier platform for assessing the effectiveness of AI models in practical applications. Founded by a team of researchers from UC Berkeley’s SkyLab, our mission is to push the boundaries of AI measurement and utilization in real-world scenarios.
Every month, millions of users engage with Arena Intelligence to investigate the performance of cutting-edge systems. We actively incorporate feedback from our community to enhance our model evaluations, ensuring they are transparent, rigorous, and centered around human values. Leading organizations and AI research facilities rely on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards are recognized as the benchmark for AI performance, trusted by industry leaders and influencing global discussions on model reliability and advancement.
Our diverse team includes researchers, engineers, academics, and innovators from renowned institutions such as UC Berkeley, Google, Stanford, DeepMind, and Discord. We prioritize truth, agility, and craftsmanship, valuing curiosity and impact over traditional hierarchies. At Arena, we foster an environment where insightful and inquisitive individuals from varied backgrounds can excel. Each team member is a specialist in their area, contributing to a culture of excellence and focus.
About the Role
We are looking for a Scientific Content Lead to uphold and articulate the scientific integrity of the most reliable AI evaluation platform globally. In this role, you will ensure that Arena’s methodologies, data quality standards, and evaluation outcomes are effectively communicated to researchers, labs, policymakers, analysts, and businesses.
This position is highly technical and demands cross-functional collaboration. You will collaborate with our research team to translate evaluation science into precise public content, preemptively address methodological criticisms, and maintain Arena’s dedication to transparency and impartiality.
Your Responsibilities
- Develop and manage Arena’s scientific communications strategy, ensuring that our evaluation methodologies, benchmarks, and data quality practices are accurately represented externally.
- Steer Arena’s proactive narrative regarding data quality, countering common criticisms and misconceptions with transparency, evidence, and integrity in storytelling.
- Create foundational explanations of Arena’s measurement strategies, including methods like Bradley-Terry-Luce ranking, confidence intervals, and uncertainty-aware interpretations.
- Ensure responsible communication of Arena’s leaderboards, clarifying that rankings are statistical estimates, small variances may be noise, and uncertainty must be accounted for in public interpretations.
- Engage with various stakeholders to foster a deeper understanding of Arena’s scientific contributions and methodologies.
