Quality Talent Group

Compensation

Full Description

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.