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Deepchecks

Automatic and AI-assisted annotations, LLM evaluation, annotated datasets for AI and ML

Quick facts

Company
Deepchecks
Service type
Data annotation / AI training data
Specialties
Image, Text, Agriculture
Hiring status
Both: hires workers and takes vendor projects
Website
https://www.deepchecks.com/
Careers
Unavailable
Profile last verified
2026-01-29

Application process overview

Deepchecks is an Israeli AI/ML validation and LLM evaluation company offering open-source testing libraries and an enterprise platform for continuous model validation. Deepchecks' core business is automated testing and evaluation of models and data—it is not a crowd-annotation marketplace and does not publicly recruit freelance annotators.

Key findings

Application Process: No annotator signup. Careers page lists staff roles — primarily data scientists, engineers, and DevOps — at deepchecks.com/careers.<br><br>Assessments: Standard tech-company interview loop for staff roles; no crowd assessments.<br><br>Job Types / Expertise: Software/ML engineering, data science, DevOps, product, and go-to-market roles. The product itself is explicitly positioned to reduce the need for manual annotators by automating LLM evaluation.<br><br>Compensation: Standard Israel/US tech salaries for staff positions; no per-task pay because there is no crowd.<br><br>Flexibility: Staff roles with office (Tel Aviv) and remote options depending on role.<br><br>Challenges / Concerns: Anyone searching Deepchecks for paid annotation side-work will not find it — the company's value prop is replacing manual annotation with automated checks.<br><br>Legitimacy: Yes—well-funded (seed/Series A), active open-source project on GitHub with significant community adoption, and real enterprise customers.

Conclusion

Deepchecks is a legitimate AI-testing software vendor, not a data-annotation workforce provider. Individuals looking to get paid for annotation or AI-training tasks should look elsewhere; those with ML engineering or data science skills may find career roles on the Deepchecks team. If you landed on Deepchecks expecting a crowd platform like Appen or DataAnnotation, this is the wrong destination.