This remote role asks applied mathematicians to check AI-generated answers and write rigorous solutions to problems in areas such as differential equations, statistics and numerical analysis. It suits holders of an advanced mathematics degree or a high-level olympiad medal who can judge whether a model's reasoning is sound. The work trains an AI model to tell flawed or poorly justified mathematical arguments from correct, practical ones.
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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.
Official posting: https://job-boards.greenhouse.io/xai/jobs/4925878007
Last checked on October 27, 2026.
This freelance contract is for PhD-level mathematicians who will evaluate and improve how AI systems handle mathematical reasoning. The work covers writing and reviewing advanced problems, checking AI-generated proofs and calculations, and organizing mathematical content for training datasets. It suits holders of a doctorate in mathematics or a closely related field who can work independently and remotely on their own schedule.
This remote, asynchronous role involves labeling and organizing statistical content, such as equations, datasets and problems, to build training data for AI systems. It also includes reviewing AI-generated statistics solutions, writing instructional material and testing models for reasoning errors and bias. It is aimed at people with strong probability and statistics backgrounds from research, teaching or applied work.
This remote role asks a pure mathematician to help train an AI tutor by solving problems and writing rigorous solutions and explanations across areas such as algebra, analysis, topology and graph theory. It also involves checking AI-generated mathematical answers for errors and gaps in reasoning. It is aimed at holders of a master's or PhD in mathematics, or at medalists of a high-level mathematics competition.
Posted September 30, 2025
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.
Posted September 30, 2025
This role involves evaluating how well AI models can perform computational biology tasks. Computational biologists and bioinformaticians will design realistic analysis scenarios from their own work, run them through AI systems, and grade the results against professional standards to help benchmark model capabilities.
This contract role asks you to pick charts from your own professional field and write questions that test whether an AI can interpret them correctly. You then explain the correct answer step by step so the reasoning can be checked. It suits people who already read graphs, plots, or dashboards for work or research and who can explain calculations clearly in writing.
Posted October 26, 2026
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