About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for great engineers with experience building complex UIs to help build out our editor interface — the part of our product that lets users visualise and annotate their data. We handle a wide range of data modalities, including image, video, audio, text, PDFs, medical images, and data from LiDAR and other sensors in robots and autonomous vehicles.
For this role, we are particularly looking for engineers who are excited about technically challenging frontend work, such as rendering complex 3D/4D scenes with thousands of objects, combining data from several modalities, all while maintaining high performance in the browser.
You'll join us at a crucial stage of accelerated development, as part of a small, highly collaborative group where you'll be a key driver of progress on a core part of our product — operating with a high degree of autonomy and crafting performant, reliable, and maintainable solutions at speed.
We are technology agnostic at Encord and not looking for experience across all of these — as long as you're open to learning, please apply.

Encord is the multimodal data labeling, curation and evaluation platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, LiDAR, 3D point cloud, and DICOM files on one unified platform while benefiting from AI-assisted speed and accuracy with human-in-the-loop workflows. Enrich petabytes of raw unstructured data into high-fidelity data for training, fine-tuning, and aligning AI models quickly and at scale.
Encord is trusted by pioneering AI teams at Synthesia, Captions AI, Tractable, Stanford Medicine, Flock Safety, Protex AI, Zoopla, Philips, and many more global companies.
Confidentially build production AI with rich multimodal data. Encord is SOC 2, AICPA SOC, HIPAA, and GDPR compliant.