Encord
AI-assisted data annotation tool, multimodal support (images, videos, audio), RLHF, computer vision
Quick facts
- Company
- Encord
- Service type
- Data annotation / AI training data
- Specialties
- Translation
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- https://encord.com/?utm_medium=social&utm_source=linkedin&utm_campaign=visit-website
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Encord is a London-based data development platform (founded 2020) used by AI teams to curate, annotate, and evaluate multimodal data — images, video, text, audio, documents, DICOM — for model training and alignment. It has raised around $50M including a 2024 Series B led by Next47. Encord sells B2B software and managed data services rather than running a public annotator marketplace.
Key findings
Application Process: No direct public annotator signup on encord.com. Freelance labelers typically reach Encord projects through partner talent networks such as OpenTrain AI; staff jobs are posted at encord.com/careers and on Welcome to the Jungle, Built In, and Simplify.<br><br>Assessments: For partner-network labelers, vetting is handled by the partner (e.g., OpenTrain's 60k+ pre-vetted labelers). For staff roles, standard tech interview loops.<br><br>Job Types / Expertise: Staff roles include engineering, ML, product, sales, and 'Human Data Operations Strategist' types who manage annotation projects. Labeler demand skews toward domain specialists (medical imaging, autonomous vehicles, 3D/LiDAR, robotics).<br><br>Compensation: Employee salaries are competitive London/NYC tech-startup ranges; partner-network labeler rates are set by the hiring client.<br><br>Flexibility: Staff roles are hybrid/remote depending on function; labeler work via partners is remote and project-based.<br><br>Challenges / Concerns: Individuals hoping to 'join Encord as an annotator' will find no direct path — Encord sells tools, not gigs. Partner-network routing adds a layer of indirection.<br><br>Legitimacy: Yes—well-funded, reputable Series B company with marquee AI customers.
Conclusion
Encord is a legitimate, growing AI-data platform, but it is primarily an enterprise software vendor. Individuals wanting annotation work should apply through partner talent networks like OpenTrain that supply labelers into Encord workspaces. Those interested in tech careers can apply directly for engineering, product, or human-data operations roles on Encord's careers site. Expect a serious B2B environment rather than a casual crowd-work experience.