Space Science Tutor

xAI xAI · AI Frontier · Remote · STEM

The role involves providing high-quality input and labels for training AI models, specifically in space science. Responsibilities include using annotation software, supporting data curation, improving annotation tools, and solving problems to enhance AI model performance in specialized space science fields. The role requires gathering and providing data in text, voice, and video formats, including annotations and recordings.

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. Solve problems that help drive innovation in space science disciplines by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.

Skills

Required

  • Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
  • Expertise and specialization in a space science subdomain.
  • 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 the capacity to exercise autonomous judgment.
  • Strong passion for and commitment to technological advancements and innovation.

Nice to have

  • Advanced expertise in physics, astronomy, or astrophysics, as demonstrated by multiple publications, preferably with one or more first-author papers, in reputable peer-reviewed journals
  • Previous AI Tutoring experience.
  • Teaching experience (as a professor, teacher, or tutor).
  • Experience in technical writing, journalism, or a professional writing setting.

What the JD emphasized

  • specialized software
  • training of new AI tasks
  • advanced space science fields
  • text, voice, and video formats
  • evolving instructions
  • Master’s or PhD in astrophysics, astronomy, physics, or a highly related field.
  • Expertise and specialization in a space science subdomain
  • Strong ability to navigate various information resources, databases, and online resources is essential.
  • Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.

Other signals

  • AI training data
  • annotation tools
  • model performance improvements