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Data Analyst
Data AnalystQuality Talent Group • Austin, Texas, United States
Data Analyst

Data Analyst

Quality Talent Group • Austin, Texas, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_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.

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