AI Data Quality Analyst (Paradox)

Job description

Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too. About the Team Are you passionate about using data to make AI smarter? We’re a team of data labelers working on cutting-edge AI scenarios across HR and talent acquisition. In this role, you’ll work with both qualitative and quantitative data, collaborating with a great team to train and refine our models - and ultimately shaping the future of how companies recruit and manage talent. About the Role Are you an analytical person who is deeply interested in AI and LLM technology? Is your superpower accurately categorizing information and identifying patterns? Do you love to solve interesting challenges and make a direct impact through your work? Join our Tel Aviv team as an AI Data Analyst and help shape the future of AI. We're looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) project. In this unique role, you'll be performing LLM data quality tasks, ensuring consistency and quality in our conversations and helping design and support our flagship products. This is more than a traditional data-labelling role. You will combine hands-on evaluation work with analytical thinking to help shape how our AI experiences evolve. Sound like your perfect fit? We want to hear from you! As an AI Data Quality Analyst, you will evaluate LLM-generated conversations and other text-based data, identify trends and regressions, and partner with AI Engineers and Product Managers to improve model performance. In this role, you will: Review and evaluate LLM-generated conversations and other text-based outputs against task-specific quality criteria and success metrics. Perform high-quality annotation and data labeling to create reliable datasets for model training, benchmarking, and evaluation. Monitor real production data to identify quality trends, regressions, and areas for improvement. Identify qualitative patterns, recurring failure modes, regressions, and opportunities to improve model behavior and user experience. Analyze evaluation results and clearly communicate insights, risks, and recommendations to cross-functional stakeholders. Work closely with our AI Engineers and Product Managers to understand the data needs and ensure data quality processes align with goals, ensuring Paradox and Workday products remain top in class. About You Experience with data labeling or annotation, ideally involving textual data, conversational data, or generative AI. Strong qualitative research and analytical skills, with the ability to detect meaningful patterns in large volumes of textual data. Strong attention to detail, sound judgment, and a high bar for consistency and quality. Creative, out-of-the-box thinking and a proactive approach to investigating ambiguous or unexpected model behavior. Technical curiosity and confidence working across web-based tools, labeling platforms, dashboards, and evolving internal interfaces. Strong English fluency, both written and verbal communication A research-oriented background, such as Linguistics, Human-Computer Interaction, Cognitive Science, Psychology, or a related field. Ability to work as from Workday Tel Aviv, Israel office location. Nice to Have: Experience working directly with LLM analysis, model evaluation, conversation quality assessment, or related AI quality workflows. Hands on experience using AI tools such as Claude Code, Cursor, or similar tools. Our Approach to Flexible Work With Hybrid Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so we require employees to work three days a week in the office and two days at home. This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process! At Workday, we value our candidates’ privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.