[Hiring] AI Tutor - Statistics Specialist @xAI

Role Description

As an AI Tutor - Statistics Specialist, you’ll play a key role in advancing xAI’s mission by enhancing our AI technologies through high-quality inputs, labels, and annotations using specialized software.

• Collaborate with our technical team to train models on human interactions, problem-solving, and discussions.
• Refine annotation tools.
• Select/create challenging problems in statistics to boost performance.
• Gather or provide data in text, voice, and video formats, including annotations, audio recordings, or video sessions.

Responsibilities

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• 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.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as:
  • Probability theory
  • Inferential statistics
  • Regression modeling
  • Multivariate analysis
  • Stochastic processes
  • Bayesian methods
  • Experimental design
  • Data-driven applications
• Interpret, analyze, and execute tasks based on given instructions.

Qualifications

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialization in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• 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.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Qualifications

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modeling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

Location, Hourly, and Other Expectations

• This position is based in Palo Alto, CA, or fully remote.
• The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation.
• If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter.
• For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.
• You must own and have reliable access to a smartphone.

Compensation

• $45/hour - $100/hour
• The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications.
• For international candidates, our recruiting team can provide an estimated pay range for your location.

Benefits

• Hourly pay is just one part of our total rewards package at xAI.
• Specific benefits vary by country; depending on your country of residence you may have access to medical benefits.
• We do not offer benefits for part-time roles.