We are seeking a Data Tagging Specialist to join our AI team. As a Data Tagging Specialist, you will play a crucial role in preparing data for machine learning models by accurately tagging and categorizing data points. Key Responsibilities: Review and categorize data to ensure accuracy and consistency. Collaborate with data scientists and machine learning engineers to understand tagging requirements. Verify data quality and provide feedback for continuous improvement. Maintain thorough documentation of tagging protocols and guidelines. Qualifications: Strong attention to detail and an ability to work with large datasets. Familiarity with data management and machine learning principles. Ability to work independently and manage time effectively. Previous experience in data tagging or related roles is a plus. About RYZ Labs: RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. The founders have worked at some of the world's largest tech companies and iconic consumer brands. They have extensive experience in Latam and are passionate about early-stage company creation and attracting top talent to build industry-defining companies in a post-pandemic world. Our remote and distributed teams across the US and Latam leverage cutting-edge cloud technologies to create scalable and resilient applications. We aim to develop diverse product solutions across industries, planning to launch numerous startups in the coming years. At RYZ, you will work autonomously, owning every step of your development. We offer opportunities for learning, growth, and challenging projects, allowing you to deepen your expertise while collaborating with a team of skilled professionals. Our values and what to expect: Customer First Mentality - decisions are made with the customer in mind. Bias for Action - a sense of urgency to complete tasks swiftly. Ownership - proactively help, even beyond your core responsibilities. Humility and Respect - a willingness to learn and treat everyone with respect. Frugality - being cost-conscious to maximize resources. Deliver Impact - focus on efficient and effective execution. Raise our Standards - continuously improve processes, team, and expectations. #J-18808-Ljbffr