Roboflow
Data annotation for computer vision, AI-assisted annotation tools, image annotation (bounding boxes, polygons), supports various annotation formats
Quick facts
- Company
- Roboflow
- Service type
- Data annotation / AI training data
- Specialties
- Image
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- https://roboflow.com/
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Roboflow is a US-based computer vision platform that helps developers build, train, and deploy vision models, with built-in tools for dataset management and annotation. It is primarily a software product; most annotation work is done by the customer's own team using Roboflow's tools.
Key findings
Application Process: Full-time roles (engineering, developer relations, sales) are listed on roboflow.com/careers; there is no public crowd-annotator program.<br><br>Assessments: Standard technical interviews for salaried hires; contributors to the community/open-source ecosystem are welcomed informally.<br><br>Job Types / Expertise: Software engineering, ML research, DevRel, and technical writing; expertise in Python, PyTorch, and computer vision is commonly sought.<br><br>Compensation: Market-rate US tech salaries with equity; no gig-annotation pay because the platform does not broker annotator labor.<br><br>Flexibility: Remote-first company with distributed hiring; flexible hours for salaried employees.<br><br>Challenges / Concerns: Job seekers sometimes expect annotation gigs here and are disappointed; the free tier of the platform also limits how much enterprise annotation activity flows through third parties.<br><br>Legitimacy: Well-known and well-funded (Series B), used by over 250,000 developers, with strong community presence via YouTube and open-source models.
Conclusion
Roboflow is a legitimate and popular computer vision tooling company, but it is not a place to find annotator gigs. It is a great destination for ML engineers and developer advocates, and its free tier is useful for anyone learning CV. Annotation happens on the platform, but the labor is supplied by the users themselves rather than by Roboflow contractors. Treat it as software, not workforce.