Jericho Systems Corporation
Broad/Unclear specialization
Quick facts
- Company
- Jericho Systems Corporation
- Service type
- Data annotation / AI training data
- Specialties
- Image
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- http://www.jerichosystems.com
- Careers
- Unavailable
- Profile last verified
- 2026-01-29
Application process overview
Jericho Systems Corporation (jerichosystems.com) is a Dallas-based cybersecurity and access-control software company founded in 2002. Its flagship product, EnterSpace Decisioning Service, provides attribute-based access control and policy-driven data redaction for government, healthcare, and enterprise clients. It is not a data annotation services provider and does not run an annotator program.
Key findings
Application Process: Standard corporate hiring via LinkedIn and their website for engineering, policy, and sales roles; no public annotator pipeline.<br><br>Assessments: Not applicable to annotators; engineering roles follow conventional interview loops with security-clearance requirements on some contracts.<br><br>Job Types / Expertise: Software engineers, security architects, policy analysts, federal contract support; the 'data labelling' in their product literature refers to security tagging and redaction, not ML training-data annotation.<br><br>Compensation: Not publicly disclosed; corporate-style salaried roles rather than gig pay.<br><br>Flexibility: Some remote roles on US federal projects; many roles require US work authorization and clearance eligibility.<br><br>Challenges / Concerns: The company name is often confused with 'Jericho Security', a newer AI cybersecurity training startup - these are different entities.<br><br>Legitimacy: Legitimate small-to-mid-size US government contractor with long operating history and SBIR-funded research (e.g. DHS data privacy work).
Conclusion
Jericho Systems Corporation is a legitimate cybersecurity software firm, but it is a poor fit for a directory of data annotation companies because it does not do ML data labeling or hire annotators. The 'data labelling' terminology on their site refers to security-tagging sensitive content, not training AI models. Anyone searching for annotation work should look elsewhere. Engineers and policy specialists with US federal experience might find traditional career roles here. Listing should be marked as 'not a data annotation employer' to avoid misleading readers.