V7
Broad/Unclear specialization
Quick facts
- Company
- V7
- Service type
- Data annotation / AI training data
- Specialties
- Image, Text
- Hiring status
- Both: hires workers and takes vendor projects
- Website
- v7labs.com
- Careers
- Only full time currently
- Profile last verified
- 2026-01-29
Application process overview
V7 Labs is a UK-based AI data infrastructure company best known for V7 Darwin (image/video annotation and training data platform) and V7 Go (an LLM-powered workflow/agent tool for unstructured documents). Its primary business is selling software to ML teams rather than running a crowd workforce.
Key findings
Application Process: Full-time and contractor roles are posted at v7labs.com/careers; V7 also operates managed annotation services with vetted labelers sourced through partners rather than an open public sign-up.<br><br>Assessments: Standard tech-company interview loops for staff roles; annotation contractors are screened via task trials and quality metrics tracked inside Darwin.<br><br>Job Types / Expertise: Engineering, product, and ML roles; on the labeling side, computer vision annotation (medical imaging, autonomous driving, agritech) and document/LLM workflow QA via V7 Go.<br><br>Compensation: Competitive London/remote tech salaries for staff; contractor annotation pay is not publicly disclosed and is handled through managed-services contracts.<br><br>Flexibility: Hybrid/remote options for staff; annotation work through V7 tends to be project-based rather than always-on crowd tasks.<br><br>Challenges / Concerns: Limited direct path for individuals to simply sign up as annotators; most labeling opportunities go through enterprise engagements.<br><br>Legitimacy: Well-known, VC-backed (Radical Ventures, Temasek, others), with strong coverage in TechCrunch, Forbes, and AI press.
Conclusion
V7 is a credible and well-funded AI data platform company, but it is primarily a software vendor with selective managed-services offerings rather than an open gig platform. For engineers, researchers, and operations roles it is a legitimate employer; for individual annotators, direct opportunities are harder to access than on crowd-first platforms. Its Darwin and Go products are respected in the industry. Overall, strong legitimacy but a narrower fit for casual annotation seekers.