Teams at Dscout

Conduct research on AI evaluation, rubrics, benchmarks, human judgment, preference data, and agent performance. Design rigorous experiments, validate measurement frameworks, build evaluation pipelines, and create long-horizon real-user benchmarks. Collaborate with engineers, delivery teams, customers, academics, and external labs, while publishing methods and benchmark findings. The role combines applied statistics, messy human data, research prototyping, technical writing, and deployment of research methods in live customer programs.

Own the end-to-end participant-facing product experience across web, native mobile, and Chrome extension surfaces. Define product vision, design high-fidelity interfaces, govern design systems, partner with product and engineering, and identify usability and growth opportunities. The role requires strong interaction and visual design, systems thinking, technical fluency, AI-native workflows, and direct ownership from discovery through launch and iteration.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.