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Statistics Tutor

x.aiCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieMid / Regular
Dodano
Dodano16 lipca 2026
Wykryte przez nas
Wykryte przez nas28 lipca 2026
Zarobki
Zarobki93 600 - 156 000 USD

xAI is dedicated to creating advanced AI systems that accurately understand the universe and support humanity in its pursuit of knowledge. We are seeking a Statistics Tutor to join our highly motivated team, where you will play a critical role in enhancing our AI models through high-quality data curation, complex problem-solving, and expert-level statistical analysis.

Key responsibilities

  • Utilize proprietary software to provide high-quality inputs, labels, and annotations for AI training projects.
  • Collaborate with technical staff to refine annotation tools and develop new, efficient training tasks.
  • Select and create challenging statistical problems covering probability theory, regression modeling, Bayesian methods, and experimental design.
  • Evaluate model responses and provide detailed, accurate solutions to complex statistical inquiries.
  • Interpret and execute tasks based on specific instructions to ensure the successful development of cutting-edge AI technologies.

Requirements

  • Master’s or PhD in Statistics or Mathematics with a specialization in statistics or probability.
  • Alternatively, a medal in an International Math Olympiad, International Statistical Olympiad, or similar competition.
  • Outstanding analytical, communication, and organizational skills with the ability to exercise autonomous judgment.
  • Strong proficiency in English and the ability to navigate diverse information resources effectively.
  • A deep passion for technological innovation and a commitment to advancing AI capabilities.

What we offer

  • The opportunity to contribute to groundbreaking AI research and development in a flat, collaborative organizational structure.
  • Full flexibility to work remotely from any location worldwide, subject to legal eligibility and time-zone requirements.
  • Engagement in challenging, high-impact projects that directly influence the performance of next-generation AI models.

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