Job Description
Job DescriptionData Analysis - AI Training RoleAbout 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.