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 RoleShield 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 DoAnnotate and label financial communication data (text, and potentially transcribed audio) according to defined guidelines and taxonomiesApply your financial knowledge to identify and classify relevant terminology, context, and potentially risky behaviorsWork with data in multiple languages, ensuring consistent and accurate labeling across themAnalyze annotated datasets to identify patterns, edge cases, ambiguities, and quality issuesProvide feedback on annotation guidelines and help refine themReview and validate annotations for consistency and qualitySummarize your findings and insights for the Data Science teamCollaborate with data scientists and domain experts to improve data quality and model performanceAdditional Details:Part-time, fixed-term temporary contract (approximately 100 hours per month)Duration: 3 monthsLocation: 3 office days per week in our Ramat Gan office