Life Sciences Research Expert (Scientific Reasoning / AI Evaluation)
Experienced Life Sciences researchers will design advanced scientific reasoning tasks for AI evaluation, focusing on biology and related disciplines.
Experienced Life Sciences researchers will design advanced scientific reasoning tasks for AI evaluation, focusing on biology and related disciplines.
Experienced Life Sciences researchers are needed to design advanced scientific reasoning tasks for an AI evaluation benchmark focused on biology and related disciplines.
Support an AI training and evaluation project by leveraging your PhD expertise in Developmental Psychology or Child Development to enhance understanding of children's learning and development.
Seeking experienced mental health professionals to evaluate AI-generated guidance and ensure it is clinically accurate and trauma-informed for children and adolescents affected by abuse.
Seeking experienced mental health professionals to evaluate AI-generated guidance on trauma and abuse for children and adolescents, ensuring clinical accuracy and ethical standards.
This role requires bilingual psychology and psychiatry experts to evaluate AI-generated mental health content for accuracy, relevance, and cultural sensitivity.
The role focuses on evaluating AI-generated psychological content for accuracy, ethical quality, and cultural sensitivity, providing expert feedback to enhance model performance.
Seeking PhD-level experts in Developmental Psychology or Child Development to support an AI project focused on children's learning and development across cultural contexts.
Join a specialized AI research lab as a Fellow to create benchmarks for evaluating frontier AI systems in scientific research, contributing to a publicly released benchmark paper.
Lead the definition and evolution of complex System-on-Chip (SoC) platforms, driving system architecture and guiding multidisciplinary engineering teams.
Evaluate and improve advanced AI systems in healthcare by reviewing dermatology images and AI-generated clinical content for accuracy and usability.
Seeking a hands-on Robotics Software Engineer to enhance onboard and ground-control software, focusing on Rust, ROS2, and real-time systems for advanced robotics applications.
Senior Business Analysts will translate complex insurance business needs into functional requirements for AI delivery, acting as a key interface between stakeholders and technical teams.
Drive day-to-day execution of enterprise AI initiatives, manage client relationships, and ensure alignment between business priorities and technical delivery as a Senior Delivery Lead / Product Owner.
The Senior DevSecOps Engineer will design and secure cloud infrastructure for AI solutions, focusing on CI/CD, Infrastructure as Code, and compliance automation across AWS and Azure.
Design and build scalable document ingestion pipelines for processing high-volume unstructured insurance content, focusing on OCR and document parsing.
Define the technical blueprint for enterprise AI initiatives in the insurance sector, focusing on LLM architecture, orchestration, and cloud infrastructure.
Design, build, and deploy production-grade autonomous AI agents and multi-agent systems while collaborating across multiple delivery squads to deliver scalable AI solutions.
Design and build scalable backend services and core platform components for production AI applications, focusing on microservices, APIs, and cloud integration.
Oversee a specialized precision-manufacturing unit, ensuring production performance, quality consistency, and effective team supervision while driving process improvements.
Oversee production performance, coordinate multidisciplinary teams, and drive continuous improvement in a high-technology manufacturing environment as an Industrial Operations Manager.
Drive new revenue and manage complex technical sales opportunities as a Senior Business Development Manager, focusing on advanced electronics and strategic account development.
Lead complex semiconductor and embedded systems projects, coordinating multidisciplinary teams and ensuring alignment from definition through production readiness.
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