Junior Data Labeller - Remote Position

About the Role

We are seeking a passionate Junior Data Labeller to join our team remotely. In this role, you will support Machine Learning and Fraud use cases by performing high-quality data annotation aligned with defined guidelines. This is an exciting opportunity to contribute to a company that is redefining how identities are verified online, ensuring digital trust across various industries.

What You'll Do

• Perform data labeling tasks accurately following defined guidelines and ontologies.
• 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.
• Adhere to security, compliance, and data handling requirements.

Requirements

• Previous experience in data labeling, content moderation, QA, or trust & safety is a plus.
• 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 (additional EU languages are a plus).
• Reliability, consistency, and openness to feedback.

Nice to Have

• Experience with machine learning concepts.
• Familiarity with data annotation tools.
• Knowledge of fraud detection methodologies.

What We Offer

• Flexible working hours and workplace.
• Open vacation policy.
• Opportunity to work with a global team of top engineers and designers.
• Ownership and autonomy in your role.
• Impactful work that shapes how billions prove identity.