Centrox AI
Broad/Unclear specialization
Quick facts
- Company
- Centrox AI
- Service type
- Data annotation / AI training data
- Specialties
- Text
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- http://www.centrox.ai
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Centrox AI is a full-cycle generative-AI and ML development firm founded in 2021 and headquartered in New York, offering custom LLM development plus B2B data annotation and labeling services across image, video, audio, and text. It operates primarily as an agency that deploys its own in-house annotation team to client projects rather than a public crowdsourcing platform.
Key findings
Application Process: No open consumer signup for annotators; Centrox staffs projects with internal annotators. Job seekers can apply via LinkedIn company page or the Centrox AI website.<br><br>Assessments: Internal hiring likely includes domain skill tests; no public assessment framework.<br><br>Job Types / Expertise: Image annotation (object detection, segmentation, landmark recognition), video annotation (movement tracking, autonomous driving, surveillance), audio annotation (virtual assistants, call-center analytics, multilingual speech), and text annotation across multiple languages/scripts.<br><br>Compensation: Not publicly disclosed; contractor/in-house rates vary by geography.<br><br>Flexibility / Remote work: Company operates with 51-200 employees and a distributed annotation workforce; remote possible but not advertised as an open platform.<br><br>Challenges / Concerns: Very limited third-party worker reviews (no significant Glassdoor/Trustpilot footprint), making it hard to verify pay and conditions. Minimal public presence compared to bigger peers.<br><br>Legitimacy: Private company with LinkedIn and Crunchbase profiles; appears to be a genuine services firm but operates at the smaller end of the market.
Conclusion
Centrox AI is a legitimate but relatively small generative-AI services agency with real annotation capability across modalities; because it is not a worker-facing marketplace, independent annotators will find few direct opportunities. It best suits enterprise buyers who want bundled LLM development plus managed labeling from one vendor, and ML engineers seeking an agency rather than platform relationship. Prospective employees should request clear contract terms given the thin public review trail.