About the role
We are seeking Engineering experts to contribute advanced technical expertise to data curation and evaluation for frontier AI models and labs. This senior reviewer role focuses on reviewing complex engineering problems, developing evaluation frameworks, and advising client teams assessing AI-generated technical outputs.
Experience
PhD in Engineering or a closely related technical discipline; Minimum three years of post-PhD research, teaching, or relevant industry experience; Current or recent experience in academic research, an industrial R&D environment, or a recognized research institution; Strong understanding of engineering fundamentals, applied mathematics, and analytical methods relevant to your discipline; Specialized expertise in one or more engineering domains, such as mechanical systems, electrical circuits, structural engineering, chemical processes, control systems, manufacturing, robotics, or computational engineering; Experience with relevant experimental, design, or modeling methods, such as finite element analysis, computational fluid dynamics, circuit simulation, optimization, or systems modeling
Selection process
Apply through the official Turing page (free account required). The listing does not describe further selection steps.
Eligibility
Not stated on the listing (remote)