Supervisely
Data annotation platform for images, videos, LiDAR, DICOM datasets, AI automation, 3D point cloud labeling, computer vision
Quick facts
- Company
- Supervisely
- Service type
- Data annotation / AI training data
- Specialties
- Image, Text
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- https://supervisely.com/
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Supervisely is a computer-vision-focused annotation and MLOps platform headquartered in the US with a large engineering base in Eastern Europe. It offers both the Supervisely app ecosystem for in-house labeling and a managed labeling workforce (Supervisely Labeling Services). Its primary users are CV engineers rather than gig-style annotators.
Key findings
Application Process: Labelers typically join via its partner BPOs; direct applications via supervisely.com/careers for engineering and ops roles.<br><br>Assessments: Tool proficiency training, task-specific qualification rounds, and QA review.<br><br>Job Types / Expertise: Image/video segmentation, 3D point-cloud labeling, ML/CV engineering, DevRel.<br><br>Compensation: Contractor wages via BPO partners (region-dependent); engineer salaries competitive for their market.<br><br>Flexibility: Remote roles common; annotation workload project-based.<br><br>Challenges / Concerns: Sparse public info for individual labelers; not a self-serve crowd marketplace.<br><br>Legitimacy: Well-known CV-tooling vendor with a sizable user community and open plugin ecosystem; legitimate.
Conclusion
Supervisely is a respected computer-vision annotation platform better suited to CV practitioners and partner-employed labelers than to independent gig workers. Engineers and developer-advocates have clear career paths, while annotators usually arrive via BPO partners. As a product it is well regarded with an active community. Expect indirect onboarding if you want labeling work. Overall legitimate and established.