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Data Analysis
Data AnalysisQuality Talent Group • Leland, North Carolina, United States
Data Analysis

Data Analysis

Quality Talent Group • Leland, North Carolina, United States
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Data Analysis - AI Training Role

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.

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    Data • Leland, North Carolina, United States

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