Are you considering a flexible student job that won't compromise your studies? At the same time, do you want a job that offers plenty of learning opportunities and may be the first step towards a career in IT?
If you recognize yourself in this description, the Data Annotator role at Microblink could be the perfect next step for you.
Microblink is an AI company specializing in computer vision and identity fraud detection. We create unique products and tools designed to make the future of digital identity a secure "no-fake-zone." Our expertise includes running efficient machine learning models directly on-device, enabling a uniquely seamless Identity Verification (IDV) experience. With teams across the US and Europe and main offices in New York and Zagreb, we touch hundreds of millions of users each year worldwide.
We are experts in machine learning, and the first essential step is machine teaching. This is exactly what our Data Annotators do: they prepare data for teaching ML algorithms how to recognize various objects and documents. ML algorithms rely on human-labeled data to learn, so without Data Annotators, our AI-based products would not function as well as they do.
In this role, you will be a core part of our machine learning process, responsible for preparing high-quality, precise data using our proprietary software and detailed guidelines to train and optimize our machine learning models.
For this position, no previous technical knowledge is needed! You'll be successful in this role if you:
Why should you pursue a job as a student in the Data team? Here's what you'll gain if you join us:
Our students are invaluable members of the Microblink community. Many of our employees joined us in their university days and decided to stay full-time. Because we know balancing exams, classes, and work duties is tough, we want to go the extra mile to support you.
As part of your application, you will answer a few pre-selection questions.Through these questions, we want to get a better understanding of you, your motivation, and your interest in working at Microblink. Please make sure to write your answers in English.
The next step is a quick online technical task.
This task is designed to showcase the types of annotations we perform at Microblink and to assess your ability to analyze information and make decisions in annotation-related scenarios.
Candidates who successfully complete the technical task will be invited to an in-person interview with our Data team.
What Happens Next?
At the very beginning of your Microblink journey, you will go through a two-week educational period at our Zagreb office.
The planned start date of work is November 23rd, 2026.
Microblink LLC is an equal opportunity employer committed to diversity and inclusion in the workplace. This policy applies to all employment practices within our organization, from hiring to the end of your business relationship with us. Accordingly, this job advertisement is equally applicable to all people and Microblink will make a hiring decision based solely on qualifications, merit, and business needs. We prohibit discrimination of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws, as well as our internal policies and culture.
For detailed information on how we process personal data, please read our Privacy Policy https://microblink.com/privacy-policy/ or reach out to our Data Protection Officer at privacy@microblink.com.

Microblink is the adaptive identity platform for the evasive age of AI, delivering fluid digital certainty for identity verification and payment fraud prevention. Unlike competitors who resell white-labeled technology, we build proprietary adaptive intelligence spanning ID documents, facial biometrics, and payment cards. With 65+ million monthly verifications across 160+ countries, our platform delivers 40% higher success rates, helping organizations onboard more real customers, optimize KYC/AML workflows, and minimize fraud.