Data Quality Officer

Working at Domain, a leading property technology marketplace that is part of CoStar Group, you'll be the guardian of our data integrity. Your focus will be on manual data labeling, validation, and remediation to ensure AI models and business teams can rely on clean, accurate data.

• Ensure high quality, reliable data that business stakeholders can trust.
• Improve the accuracy and performance of AI models through meticulous data validation and labeling.
• Reduce business risk by identifying and correcting data errors, preventing biased outcomes.
• Streamline operational efficiency by reducing time teams spend cleaning or correcting data.
• Document findings clearly and follow complex guidelines to maintain data standards.
• Support ongoing AI/ML evaluation by providing validated, structured data inputs.

• Exceptional attention to detail and analytical skills.
• Ability to follow complex guidelines and document findings clearly.
• Strong written and verbal communication skills.
• Proficiency with office productivity tools, including Microsoft Excel or Google Sheets.
• Hands on experience in data validation, data labeling, or data entry.
• Bachelor's Degree or equivalent from an accredited university or college.

• Experience in real estate or property technology.
• Familiarity with data visualisation tools (e.g., Tableau, Power BI).
• Experience in AI/ML or LLMs validation, particularly for information extraction tasks.
• Ability to identify potential data quality issues at scale and think critically about solutions.

• Flexible hybrid working.
• Mentoring and leadership programs, with access to Learning & Development tools.
• First rate parental leave and support for working parents.
• Regular social events including our famous Innovation Days.

CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug free workplace and perform pre employment substance abuse testing. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.