ZipRecruiter uses AI and machine learning algorithms to analyze your profile and job search data to match you with employers and job listings.
This analysis describes what ZipRecruiter's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
AI-driven matching means automated processing of your career data influences which jobs or candidates you are shown, with limited transparency about how those decisions are made.
Interpretive note: The policy discloses AI use but does not specify whether matching constitutes solely automated decision-making under GDPR Article 22, leaving the scope of user rights in this context ambiguous.
Your resume, job application history, and usage behavior are processed by automated AI systems to determine which jobs or employers you are matched with, which may affect the job opportunities you see without clear human review.
How other platforms handle this
engage in any of the foregoing in connection with any use, creation, development, modification, prompting, fine-tuning, training, testing, benchmarking or validation of any artificial intelligence or machine learning tool, model, system, algorithm, product or other technology ("AI Tool").
We use Personal Data to detect and prevent fraud, and to develop and improve our fraud detection models and other machine learning systems. This may include using transaction data, device information, and other Personal Data to train and refine our systems.
We use your personal data to develop, train, and improve our artificial intelligence and machine learning models. This includes using your transaction data, behavioral data, and interaction data to enhance our fraud detection, credit assessment, and personalization capabilities. We take steps to pro...
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"When we apply artificial intelligence (AI), including algorithms or machine learning, to help match job seekers and employers.— Excerpt from ZipRecruiter's ZipRecruiter Privacy Policy
REGULATORY LANDSCAPE: The EU AI Act classifies AI systems used for employment-related decisions, including candidate matching and filtering, as high-risk AI systems, triggering obligations around transparency, human oversight, and conformity assessments for EEA users. UK regulators including the ICO have also issued guidance on automated decision-making in employment contexts under UK GDPR Article 22. The FTC Act's prohibition on unfair or deceptive practices is relevant for U.S. users where AI matching could produce discriminatory or misleading outcomes. GOVERNANCE EXPOSURE: High. The policy discloses AI use for matching but does not detail the nature of automated decision-making, whether decisions are solely automated, or what human oversight exists. Under GDPR Article 22, individuals have rights not to be subject to solely automated decisions producing significant effects; the policy does not explicitly address this right in the AI context. JURISDICTION FLAGS: EEA and UK users face the highest exposure given EU AI Act high-risk classification for employment AI and GDPR Article 22 rights. U.S. federal law does not yet broadly regulate employment AI, but Illinois, New York City, and Colorado have enacted or proposed AI employment laws that may apply depending on user location and employer location. CONTRACT AND VENDOR IMPLICATIONS: Employers using ZipRecruiter's AI matching as part of their hiring workflow should assess whether reliance on ZipRecruiter's AI constitutes use of a high-risk AI system under the EU AI Act, potentially triggering their own compliance obligations as deployers. Data processing agreements with ZipRecruiter should address AI processing scope and auditability. COMPLIANCE CONSIDERATIONS: Compliance teams should evaluate whether ZipRecruiter's AI matching disclosures satisfy GDPR transparency obligations under Articles 13 and 14, and whether a Data Protection Impact Assessment (DPIA) has been conducted for EEA processing. For U.S. operations, monitoring of state-level AI employment legislation is advisable.
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AI-driven matching means automated processing of your career data influences which jobs or candidates you are shown, with limited transparency about how those decisions are made.
Your resume, job application history, and usage behavior are processed by automated AI systems to determine which jobs or employers you are matched with, which may affect the job opportunities you see without clear human review.
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