Data Labeling Specialist (Student, Part-Time position)

Shield is a global startup, with offices in TLV, NYC, LDN, and LIS. We’re growing and looking for another important piece of the puzzle. Is it you? We are looking for a sharp, detail-oriented student to join our Data Science team for a limited-term engagement. If you have a finance background, speak multiple languages, and enjoy digging into data, this is for you! Let’s get down to business: About the Role Shield FC is a leading innovator in the financial compliance space, serving some of the world’s largest banks and financial institutions. We help these organizations meet regulatory obligations by monitoring vast volumes of employee communications. Our Data Science team builds NLP and LLM-based solutions that detect rare and subtle indicators of suspicious behavior hidden in massive streams of text. High-quality annotated data is the foundation of everything we build, and that’s where you come in. As a Data Labeling Specialist, you’ll use your financial and linguistic expertise to label, review, and analyze real-world communication data, directly shaping the accuracy of our models. What You’ll Do Annotate and label financial communication data (text, and potentially transcribed audio) according to defined guidelines and taxonomies Apply your financial knowledge to identify and classify relevant terminology, context, and potentially risky behaviors Work with data in multiple languages, ensuring consistent and accurate labeling across them Analyze annotated datasets to identify patterns, edge cases, ambiguities, and quality issues Provide feedback on annotation guidelines and help refine them Review and validate annotations for consistency and quality Summarize your findings and insights for the Data Science team Collaborate with data scientists and domain experts to improve data quality and model performance Additional Details: Part-time, fixed-term temporary contract (approximately 100 hours per month) Duration: 3 months Location: 3 office days per week in our Ramat Gan office Requirements: Requirements Currently enrolled in a BA/BSc or MA/MSc program in Finance, Economics, Business, Accounting, or a related field Fluency in English and at least one additional language: [Spanish, German, French, Portuguese] Strong understanding of financial concepts and terminology - Financial markets experience (or education). Exceptional attention to detail and a high level of accuracy Strong analytical skills and the ability to spot patterns in data Ability to follow detailed guidelines while using sound judgment on ambiguous cases Ability to commit to 100 hours a month for 3 months, working 3 days a week from the office Team player Advantages - Familiarity with financial compliance, regulation, or market surveillance Experience in a large investment bank front office environment is a huge advantage Experience in compliance for top tier investment bank is a big advantage Basic experience with Python, SQL, or data analysis tools Previous experience in data annotation, labeling, or research Interest in AI, NLP, and LLMs