Labeller
Broad/Unclear specialization
Quick facts
- Company
- Labeller
- Service type
- Data annotation / AI training data
- Specialties
- image, text, healthcare, agriculture
- Hiring status
- Application link not verified
- Website
- Website
- Application guide source checked
- Not yet verified
Application process overview
Labellerr (operated by Tensor Matics Pvt Ltd) is a B2B SaaS data-labeling platform headquartered in the US with delivery teams in Chandigarh and Noida, India. It combines an annotation tool with in-house labeling services for computer vision datasets, and recruits annotators primarily in India on a managed-team basis rather than as an open crowd.
Key findings
Application Process: Openings are posted on Wellfound, Internshala, Hasjob, and the company's careers page; candidates submit a resume and go through recruiter screening rather than self-serve signup.<br><br>Assessments: A short labeling test on the Labellerr tool is typical to validate accuracy and speed.<br><br>Job Types / Expertise: Image and video annotation (bounding box, polygon, segmentation) for healthcare, automotive, and agriculture clients; engineering roles in ML and frontend are also listed.<br><br>Compensation: India-market entry-level rates, often part-time or work-from-home gigs quoted per hour or per project; specific figures are not publicly published.<br><br>Flexibility: Remote and part-time options are advertised, which is attractive for students and supplemental workers.<br><br>Challenges / Concerns: Small company (roughly 10-50 staff) with limited public pay data and few independent worker reviews; Glassdoor presence is thin.<br><br>Legitimacy: Real registered entity, G2 recognition as a High Performer in data labeling, backing from Upekkha, Google for Startups, AWS, and Microsoft for Startups.
Conclusion
Labellerr is a legitimate early-stage startup offering annotation work largely to India-based contractors alongside its software product. It is a plausible entry route for annotators in India, but the small scale and scarce third-party pay data mean candidates should ask direct questions about rates and project length. Outside India, worker opportunities appear limited. As a product vendor it has real traction; as an employer it is still modest. Suitable for supplemental income with realistic expectations.