OpenRecently verified

AI Tutor - Physics

  • Science & Research
  • Platform: xAI

Not sure this job fits you?

  • Add your resume and see every open Science & Research job scored against your background. Free.
  • Your profile is never sent to the platforms. You decide where to apply.
Add your resume

About this job

This remote role involves annotating and evaluating AI-generated physics content, finding errors in physical reasoning and writing rigorous worked solutions to help train an AI model. It is aimed at physicists with an advanced degree and deep expertise in one or more subfields, ideally with teaching, publishing or AI evaluation experience.

What you'll do

  • Annotate and label physics data using proprietary software.
  • Solve complex physics problems and write detailed, accurate explanations.
  • Critically evaluate AI-generated responses to find errors in physical reasoning.
  • Collaborate with technical teams to improve annotation tools and workflows.

Requirements

Physics
  • Master's or PhD in physics or a highly related field

Pay

Pay not disclosed

The platform does not publish the pay for this job.

Location

The platform has not published which countries are eligible for this job.

How to apply

You apply on xAI's careers board: submit the application for the AI Tutor role, then complete the assessments and interviews described in its posting.

All xAI jobs and how the platform works

Source

Official posting: https://job-boards.greenhouse.io/xai/jobs/4925832007

Last checked on October 27, 2026.

Similar jobs

  • Science & Research
  • Platform: Alignerr

This contract role asks physicists with a PhD to judge and improve the physics material used to train advanced AI systems. The work covers writing hard problems, checking AI-generated solutions for errors, and labeling concepts so models learn the structure of the field. It suits remote experts who can work independently and do not need prior AI experience.

  • Science & Research
  • Platform: micro1
  • Location: 58 countries

This contract role asks a senior researcher in computer science or computational physics to guide frontier AI models and agents through multi-step research, from proofs and algorithms to numerical experiments and simulations. The person checks the results, judges their correctness and novelty, and writes memos on where the models succeed or fail. No prior AI experience is needed, since the domain expertise is the core requirement.

Posted October 13, 2026

OpenRecently verified$100-400/hr

Referral link to micro1's job list: search for this role there. Open this exact job

  • Science & Research
  • Platform: Mercor
  • Location: United States

This role invites mathematical physicists to contribute to a research benchmark in fundamental physics, designed to assess whether cutting-edge AI models can solve real research problems in physics. You will work on specialized challenges in one of four proposed domains (special functions, integrable systems, permutation combinatorics, conformal geometry), creating, solving, reviewing, or validating problems at the level of academic research.

Posted September 25, 2026

OpenRecently verified$80-110/hr

Referral link: we may earn a fee. Apply without it

  • Science & Research
  • Platform: Mercor
  • Location: United States

This role involves contributing to the creation and evaluation of research-level physics challenges for a benchmark designed to test the physical reasoning capabilities of AI models. The work involves creating problems, solving them, examining solutions or auditing them in your area of specialization in statistical physics. This role is intended for PhDs in statistical physics with published experience on specific phenomena and who master the corresponding mathematical and computational methods.

Posted September 25, 2026

OpenRecently verified$80-110/hr

Referral link: we may earn a fee. Apply without it

  • Science & Research
  • Platform: Terac
  • Location: United States

This ongoing project hires advanced STEM experts to write graduate-level and PhD-level problems with exact, verifiable answers, helping AI systems improve at rigorous scientific reasoning. Participants create original problems in their own specialty, write detailed step-by-step solutions, and sometimes review AI-generated answers to find reasoning errors. It is aimed at PhD candidates and holders, postdoctoral researchers, and faculty in biology, chemistry, physics, mathematics, and selected engineering fields.

Posted August 6, 2026

OpenRecently verifiedPay not disclosed
  • Science & Research
  • Platform: xAI

This remote contract role asks materials scientists to annotate data and judge AI-generated answers on materials topics such as polymers, semiconductors, alloys and ceramics. It suits candidates with a graduate degree in a physical science or engineering who can tell whether a model's reasoning about structure, properties and processing is sound. The work also involves solving complex problems and writing detailed, rigorous explanations to guide model training.

Posted September 30, 2025

OpenRecently verifiedPay not disclosed

Keep exploring