Trilldata
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Quick facts
- Company
- Trilldata
- Service type
- Data annotation / AI training data
- Specialties
- Text
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- trilldata.com
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Trilldata Technologies is an India-based data annotation and AI services provider offering managed labeling teams for computer vision, NLP, and generative AI projects. It positions itself as an outsourcing partner rather than a public crowdsourcing platform.
Key findings
Application Process: Careers are advertised on trilldata.com and Indian job boards (LinkedIn, Naukri); candidates apply to specific annotator, QA, or team-lead roles rather than signing up to a crowd platform.<br><br>Assessments: Typical BPO-style hiring with aptitude tests, English screening, and project-specific annotation trials.<br><br>Job Types / Expertise: Image/video bounding boxes, segmentation, LiDAR/3D point cloud, NLP tagging, transcription, and LLM evaluation.<br><br>Compensation: Salaried roles at local Indian market rates; public Glassdoor-style data is limited but consistent with typical BPO annotation pay.<br><br>Flexibility: Primarily on-site or hybrid office work from Indian locations, not freelance / pick-your-hours.<br><br>Challenges / Concerns: Limited public information, small online footprint, and few independent employee reviews make due diligence harder.<br><br>Legitimacy: Appears to be a real operating company with a website, LinkedIn presence, and client case studies, but is a small-to-mid-size vendor rather than a well-known brand.
Conclusion
Trilldata is a legitimate but relatively low-profile annotation services vendor based in India, selling managed labeling teams to AI companies. It is more relevant to enterprises seeking an outsourcing partner than to individuals looking for remote gig work. Candidates in India may find standard in-house annotator roles, but international remote opportunities appear limited. Because public reviews are sparse, applicants should verify details directly with the company.