Computational Materials Scientist for AI Model Training
$84/hr
Remote — US onlyRemote — US-basedContractscience
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Role Overview
Apply expert knowledge of materials, surfaces, and chemical processes to create, organize, and assess scientific data used to develop advanced AI models for materials science and the physical sciences. Your work will directly improve how these models reason about materials, surfaces, and chemical processes.
Key Responsibilities
- Apply expertise in first principles and molecular simulation, including electronic structure, surface and interface modeling, adsorption, and reaction energetics, to produce high quality training and evaluation data.
- Review AI generated scientific reasoning, identify errors, and improve technical accuracy.
- Design and solve challenging problems in atomistic and surface modeling.
- Rate and rank model outputs using defined scientific criteria and provide clear written reasoning.
- Organize simulation setups, methods, and results into well structured, model ready technical data.
- Deliver dependable, high quality work within defined timelines.
Qualifications
- Hands on atomistic modeling experience using first principles or molecular methods, such as DFT, ab initio molecular dynamics, classical MD, or Monte Carlo.
- Experience modeling surfaces, interfaces, adsorption, or reaction phenomena, including slab models, surface reconstructions, transition states, NEB, and microkinetics.
- Experience with semiconductor relevant materials or a background in computational heterogeneous catalysis.
- Proficiency with tools such as VASP, Quantum ESPRESSO, CP2K, GPAW, LAMMPS, ASE, and pymatgen.
- PhD in materials science, chemistry, physics, chemical engineering, or a related field, ideally with several years of research experience after the PhD.
- Clear written English and the ability to explain technical reasoning concisely.
Work Terms
- Long term, ongoing hourly engagement.
- Remote work for candidates based in the United States.
- Commitment ranges from a minimum of 10 hours per week up to 40 hours per week.
Compensation
- $84 per hour.