Data Science Tutor

xAI xAI · AI Frontier · Remote · STEM

Role focused on providing high-quality input and labels for training AI tasks, collaborating with the technical team to refine annotation tools and improve model performance. Requires strong analytical and communication skills, with a background in data science or similar competitive fields.

What you'd actually do

  1. Use proprietary software applications to provide input/labels on defined projects.
  2. Support and ensure the delivery of high-quality curated data.
  3. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
  4. Interact with the technical staff to help improve the design of efficient annotation tools.
  5. Regularly require you to interpret, analyze, and execute tasks based on given instructions.

Skills

Required

  • Master's or PhD in a data science related field or IMO medalist (or similar competition medalist)
  • Proficiency in reading and writing, both in informal and professional English
  • Strong ability to navigate various information resources, databases, and online resources
  • Outstanding communication, interpersonal, analytical, and organizational capabilities
  • Solid reading comprehension skills combined with capacity to exercise autonomous judgment even when presented with limited data/material

Nice to have

  • Experience with at least one publication in a reputable journal or outlet
  • Previous AI Tutoring experience
  • Teaching experience (as a professor, teacher, or tutor)
  • Experience in technical writing, journalism, or a professional writing setting
  • Professional background as a Data Scientist

What the JD emphasized

  • Master's or PhD in a data science related field
  • IMO medalist (or similar competition medalist)

Other signals

  • support the training of new AI tasks
  • refining annotation tools
  • provide high-quality input and labels