Keymakr
Image and Video Annotation, Data collection and classification for training convolutional neural networks and deep learning AI, computer vision, autonomous vehicles
Quick facts
- Company
- Keymakr
- Service type
- Data annotation / AI training data
- Specialties
- Image, Text
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- keymakr.com
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Keymakr (keymakr.com) is an image and video annotation service provider founded in 2015, operating a managed in-house workforce of 600+ professional annotators primarily based in Ukraine. It also sells a proprietary labeling tool called Keylabs and targets computer-vision clients in automotive, retail, agriculture, and medical imaging.
Key findings
Application Process: Direct hire into Keymakr's in-house annotation teams rather than open crowdsourcing; candidates apply via the company site or via LinkedIn/Indeed postings. Onboarding includes training on annotation guidelines and Keylabs tooling.<br><br>Assessments: Trial annotation tasks and accuracy/speed benchmarks during training; continuous QA scoring on live projects.<br><br>Job Types / Expertise: Image/video annotators (bounding boxes, segmentation, keypoints, 3D/LiDAR), QA leads, project managers; specialized tracks for medical imaging and autonomous driving.<br><br>Compensation: Not publicly disclosed; operates on employee/contractor salaries calibrated to Ukrainian labor market rather than piece-rate gig pay.<br><br>Flexibility: Hybrid of on-site offices and remote work; full-time structured schedules rather than anytime gig work.<br><br>Challenges / Concerns: Opportunities are concentrated in Ukraine and nearby markets, so non-local applicants face a higher bar; platform UI is reported to feel slow by some clients.<br><br>Legitimacy: Legitimate provider with strong G2 reviews from clients, 10+ year operating history, and named enterprise customers.
Conclusion
Keymakr is a legitimate managed-services annotation company rather than a gig platform, which means stable work with training and QA support but fewer opportunities for casual global applicants. Its strongest fit is for annotators in Ukraine and nearby regions looking for structured full-time work in computer vision. Pay is local-market and not publicly posted. Clients praise output quality and responsiveness, which suggests a professional internal culture. Expect an employer-employee relationship, not a pick-up-tasks-when-you-want model.