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Senior QA Engineer defines and executes manual testing strategies for complex web, mobile, and API-based applications, ensuring high-quality user experiences and identifying systemic quality gaps.
You document AWS modernization projects for compliance and partner reviews, turning delivery-team details into audit-ready docs and diagrams while meeting fixed deadlines.
About Zepz Our Meaningful Mission At Zepz, we're all about breaking down barriers for our customers and our teammates. Our purpose is deeply personal, we provide a lifeline and deliver opportunities to cross-border…
About TrueFoundry Every production AI system whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions needs the same foundational infrastructure.A way to…
Als Executive Assistant (m/w/d) to the Chief Performance Officer übernimmst Du eine Schlüsselrolle in der Unterstützung einer C-Level-Führungskraft bei SIXT. Du sorgst dafür, dass im Hintergrund alles reibungslos läuft…
Design and run cutting-edge AI benchmarks that shape how the industry measures model capabilities, evaluating every major release and publishing influential analysis.
Own and run AI language-model benchmarks end-to-end, onboarding new models, debugging pipelines, and serving as the technical liaison to top AI labs.
Design and run AI hardware benchmarks for GPUs, TPUs and custom silicon, analyze throughput, latency and cost-per-token, and work with leading chipmakers to set industry standards.
Benchmark and analyze AI model inference performance across providers, extending methodologies for speed, cost, and accuracy while shaping industry standards.
Build and run next-generation AI benchmarks to evaluate language models, design contamination-resistant datasets, and publish industry-shaping reports on frontier capabilities.
Client-facing role at an AI benchmarking company: partner with frontier AI labs and enterprises, interpret benchmark results, and own commercial relationships while contributing to technical evaluations.
Develops and benchmarks speech AI models (TTS, STT, voice cloning) for Artificial Analysis, evaluating cutting-edge tech from leading companies like OpenAI, Google, and Meta to shape industry standards and product roadmaps.
Product Manager for AI image and video generation, shaping benchmarking tools and leaderboards to evaluate cutting-edge generative media models. Collaborates with engineering, research, and industry leaders to define evaluation frameworks, run preference studies, and influence AI development roadmaps.
A client-facing technical role bridging AI benchmarking and commercial partnerships, where 80% of time involves managing relationships with AI labs/enterprises (e.g., OpenAI, NVIDIA) to interpret benchmark results and 20% involves hands-on technical work to maintain expertise in frontier AI systems and methodologies.
Job Description – Business Operations Manager Location: San Francisco (on-site at our offices) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs,…
Job Description – Senior Technical Recruiter Location: San Francisco (on-site at our offices) About Artificial Analysis Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers…
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale.…
Product Manager at Artificial Analysis, Inc. responsible for building and extending speech evaluation frameworks, benchmarking new speech AI models, and publishing analysis to track the speech AI industry's progress.
Design and run AI hardware benchmarks (GPUs, TPUs, custom silicon), analyze inference economics, and partner with chipmakers to set industry standards for performance and cost-per-token.
Build and optimize the AI benchmarking platform using Next.js, TypeScript, and PostgreSQL, creating intuitive data visualizations for thousands of daily users while shaping AI development trends.
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