
Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, 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.

Encord is the multimodal data management platform for AI. With Encord, AI teams can easily manage, curate, and label images, videos, audio, documents, text, 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.
What they do: Multimodal data management and annotation platform for AI (images, video, audio, text, DICOM, LiDAR)
Founded: 2020
Headcount (approx.): 146
Total disclosed funding: ≈ $47.15M (USD)
Compliance: SOC 2, HIPAA, GDPR
| Company |
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Data curation and annotation for multimodal AI training and model evaluation
2020
Software Development
30000000
Announced to bring total disclosed funding to approximately $50M
17100000
Prior rounds reported totaling roughly $17.1M before Series B
“Backed by investors including Next47, Y Combinator, CRV, Crane Venture Partners, and Harpoon”
Company Name: Encord
Location: London
Department: Engineering
Employment Type: Full-time
Work Model: Hybrid
At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.
As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord.
We are a talented and ambitious team of 75+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers.
Job Title: Senior Full-Stack Engineer
We encourage people from all backgrounds, cultures, and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate and eager to learn.
Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will explore and build services for enterprise AI use cases across various industry verticals such as healthcare, surveillance, retail, and agriculture. Our work is at the cutting edge of computer vision and deep learning, addressing unsolved problems within those fields.