LinkedAI
Annotation services (image, video), computer vision, data curation for fine-tuning large language models
Quick facts
- Company
- LinkedAI
- Service type
- Data annotation / AI training data
- Specialties
- Image, Healthcare
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- https://www.linkedai.co/
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
LinkedAI is a Colombia-based data annotation company offering a labeling platform plus a trained in-house workforce, with some crowd-sourced capacity for larger jobs. It focuses on image, video, and 3D point-cloud labeling for computer vision, primarily hiring annotators regionally in Latin America rather than through an open global platform.
Key findings
Application Process: Applications go through traditional recruiter channels and the company site; there is no public self-serve signup portal for workers.<br><br>Assessments: Role-specific labeling trials on the LinkedAI tool are used to validate quality, and the company advertises an accuracy benchmark above 99%.<br><br>Job Types / Expertise: Bounding boxes, polygons, landmarks, classification, semantic segmentation; both managed-service annotation and platform-support roles.<br><br>Compensation: Not publicly disclosed; as a small LATAM employer pay is expected to align with local market annotation rates, below US crowd-platform tiers but with employment structure.<br><br>Flexibility: Mix of in-house and remote roles; hybrid workforce model.<br><br>Challenges / Concerns: Very small headcount (around 16 employees per PitchBook/Crunchbase), limited public worker reviews, and scarce details on pay or benefits.<br><br>Legitimacy: Real funded company (around $5M raised), listed on Crunchbase and PitchBook, with a clearly documented product.
Conclusion
LinkedAI is a legitimate but small Colombia-based annotation vendor whose worker opportunities are mostly regional and not advertised to a global crowd. For LATAM-based annotators it is a plausible managed-workforce employer, while for outside candidates there is little to apply to. Public data on pay and worker experience is thin, so individual due diligence is warranted. It is more interesting as a software vendor than as a gig platform. Low risk, low visibility.