Teams at EVB

Review and annotate videos of robotic arms performing tasks, applying detailed tags and grades according to project guidelines. Document observations, collaborate with trainers and contributors to maintain annotation quality, provide feedback on labeling processes, and submit completed work on schedule. The role supports AI training and requires strong attention to detail, written communication, and familiarity with video annotation or digital content review workflows.

Develop and improve open-source software using multiple programming languages. Responsibilities include feature development, bug resolution, legacy-code refactoring, performance optimization, code validation, competitive programming, peer collaboration, documentation, and technical writing. The role is remote and supports AI training projects, but no prior AI experience is required.

Build and deploy AI systems for leading labs and enterprise partners. Responsibilities include designing data intelligence platforms, ML and evaluation pipelines, taxonomies, labeling workflows, LLM applications, multi-agent and RAG systems, inference infrastructure, and human-in-the-loop workflows. The engineer will translate ambiguous research needs into production systems, manage full technical lifecycles, and collaborate directly with researchers, founders, and strategic partners.