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.
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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/4925823007
Last checked on October 27, 2026.
Mercor is recruiting scientists and engineers specialized in inorganic synthesis, materials characterization, superconductors and semiconductors to support a cutting-edge AI research laboratory. You will contribute to generating, structuring and evaluating high-quality scientific data intended for model training, by applying your deep expertise to complex problems in materials physics.
Posted August 1, 2026
This role involves annotating and evaluating chemistry content for AI model training. A PhD chemist will label complex chemistry questions, map conceptual relationships, review AI-generated answers, and develop datasets across multiple chemistry subfields to improve frontier AI models.
This role involves designing, solving, and evaluating advanced chemistry problems to train AI models. Masters and PhD-level chemists will leverage their domain expertise to create rigorous scientific content that enhances AI reasoning capabilities across organic, inorganic, physical, or computational chemistry.
This remote contract role asks a chemistry PhD to design, evaluate and critique chemistry problems and reasoning chains used to benchmark AI systems. The work spans reaction mechanisms, spectroscopy, molecular simulations and electronic structure methods. It suits scientists with deep expertise in at least one chemistry subfield and strong research and communication skills.
Posted October 16, 2026
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This role involves evaluating demanding atomistic simulation and materials science problems, and checking AI-generated answers on topics such as DFT and molecular dynamics. It is aimed at PhD-level specialists in computational materials science, quantum simulation, or molecular modelling who want to improve how AI reasons about materials.
Posted October 11, 2026
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
