Data Annotator (Student position)

<p>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?</p> <p>If you recognize yourself in this description, the Data Annotator role at Microblink could be the perfect next step for you.</p> <p><strong>A little bit about us</strong></p> <p>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.</p> <p><strong>Why Student Data Annotators matter to us</strong></p> <p>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.</p> <p> 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.</p> <p><strong>Here's what you'll do</strong></p> <ul> <li>Annotate data (such as numbers, letters, words, and specific fields) on various documents.</li> <li>Analyze and classify global documents by systematically researching their content and structure, and making precise, guideline-based decisions.</li> <li>Rigorously analyze images to recognize and report inconsistencies and distortions, ensuring the data is filtered and cleaned for use in accurate training datasets.</li> </ul> <p><strong>Your work hours will be flexible</strong></p> <ul> <li>In the beginning, you will be working in shifts of <strong>4 hours</strong>, which can be increased up to 8 hours - it's up to you and your availability</li> <li>The minimum weekly requirement is 12 hours, which must cover a minimum of 3 shifts.</li> <li>You will <strong>work from our Zagreb office</strong> (Trg Drage Iblera 10) and choose any shift between <strong>Monday to Friday from 7 AM until 8 PM </strong><strong><br></strong></li> </ul> <p><strong>For this position, no previous technical knowledge is needed! You'll