AI Data Quality Analyst (Paradox)

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Were 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 were shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join youll 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. Were 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 youre building smarter solutions supporting customers or creating a space where everyone belongs youll do meaningful work with Workmates whove got your return well 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 youve found a match in Workday and we hope to be a match for you too.

About the Team

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. Were looking for analytical minds to contribute to our cutting-edge Large Language Model (LLM) this unique role youll 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 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 were 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 youll 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.

Workday is committed to providing reasonable accommodations for qualified individuals during our application process in order to perform one or more essential functions of their job as well as regarding the use of AI tools for employment decision-making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran due to a disability or for religious reasons or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy requesting one or more work accommodations exercising a privacy right or cooperating in an investigation in accordance with applicable law. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action up to and including termination of employment to the fullest extent allowable under applicable law.

If you require a reasonable accommodation you may email as far in advance as possible.

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