Junior Data Labeller

TL;DR

Junior Data Labeller: Supports Machine Learning and Fraud use cases by performing high-quality data annotation with an accent on aligning with defined guidelines, ontologies, and quality standards. Focus on contributing to quality assurance, labeling alignment, and early signal discovery for fraud-related features.

Location: Onsite in Madrid, Spain

Company

hirify.global is a Series B unicorn providing AI-powered identity solutions to leading banks, fintechs, marketplaces, and governments globally.

What you will do

• Perform accurate data labeling tasks according to defined guidelines.
• Maintain high consistency and quality across annotations.
• Participate in quality assurance reviews and apply feedback promptly.
• Flag unclear cases, edge conditions, and potential fraud patterns.
• Support fraud feature discovery and validation through labeling work.
• Collaborate with the EMEA Regional Coordinator on alignment and priorities.

Requirements

• Strong attention to detail and ability to follow detailed instructions.
• Comfortable working with sensitive data under strict compliance rules.
• Good written communication skills in English.
• Reliability, consistency, and openness to feedback.

Nice to have

• Previous experience in data labeling, content moderation, QA, or trust & safety.
• Additional EU languages.

Culture & Benefits

• Flexible Working Hours & Workplace.
• Open Vacation Policy.
• Emphasis on high performance, freedom, responsibility, and continuous feedback.
• Opportunity to work with an elite, global team at a fast-growing unicorn company.