Quality Talent Group is hiring: Data Analyst in Camarillo

About Our Client Our client is a leading force in advancing safer, smarter AI technology. Their work has been featured in Forbes , The New York Times , and other major outlets for pioneering high-quality, human-verified data that powers today’s top AI systems. They have built a global community of expert contributors and have paid more than $500 million to professionals all over the world who help train, test, and improve next-generation AI models. Why Join This Team? Earn up to $50/hr , paid weekly Payments via PayPal or AirTM No contracts, no 9-to-5 - you control your schedule Most experts work 5-10 hours/week, with the option to work up to 40 hours from home Join a global community of experts contributing to advanced AI tools Free access to the Model Playground to interact with leading LLMs Requirements Bachelor’s degree or higher in a quantitative, technical, or business discipline (e.g., Statistics, Mathematics, Data Science, Operations Research, Computer Science, Engineering, Economics, Finance, or similar) 2+ years of experience in an analyst, consultant, or research role involving quantitative analysis, modeling, or forecasting Demonstrated experience working with datasets end-to-end: sourcing, cleaning, analyzing, and deriving insights Proficiency with data analysis tools such as Python, R, SQL, or similar, and familiarity with visualization methods Strong problem-solving skills, attention to detail, and ability to clearly explain results to non-technical audiences What You’ll Do Support the training of generative AI models by applying advanced analytical skills Find and source open datasets relevant to business and research needs Clean, transform, and prepare data for analysis and modeling Build statistical or forecasting models to extract meaningful insights Communicate findings clearly, emphasizing implications and actionable recommendations Apply now and join the top 1% of data analyst experts worldwide to shape the future of AI. #J-18808-Ljbffr