Materials Science Specialist (Remote | $80–$130/hr)

Materials Science Expert Position: Materials Science Expert Type: Contractor — Part-Time Compensation: $80–$130/hour Location: Remote — Global About the Opportunity micro1 is seeking highly skilled Materials Science Experts to contribute to an AI training project focused on computational materials science, materials modeling, scientific simulation, and Python-based engineering workflows. You will create, solve, review, and validate technical tasks involving material structures, properties, processing, performance, and failure . Tasks may involve constructing material or atomic models, configuring and running simulations, calculating relevant properties, analyzing outputs, and determining whether solutions are both computationally valid and physically meaningful. The role requires hands-on materials expertise combined with the ability to use engineering and scientific tools programmatically. Experience limited exclusively to graphical user interfaces is not sufficient, as solutions must be reproducible through code, scripts, configuration files, or command-line workflows. Responsibilities Solve and validate computational materials science and materials engineering problems. Create material structures, atomic configurations, compositions, and solver-ready inputs. Model relationships between composition, structure, processing, properties, and performance. Run atomistic, electronic-structure, molecular-dynamics, continuum, electrochemical, or related simulations. Use Python to generate inputs, automate calculations, perform parameter sweeps, process results, and validate outputs. Analyze mechanical, thermal, electrical, chemical, structural, and electrochemical properties. Diagnose failed calculations, invalid structures, convergence issues, numerical instability, and incorrect physical assumptions. Compare computational results against experimental data, literature values, known material properties, and expected physical trends. Review AI-generated solutions for scientific correctness and identify invalid assumptions, configurations, calculations, or conclusions. Develop reproducible reference solutions and objective methods for verifying computational results. Clearly explain modeling assumptions, technical limitations, computational findings, and scientific reasoning. Required Qualifications MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline; or MS or PhD in Mechanical Engineering or Chemical Engineering with a substantial materials specialization. Strong understanding of materials behavior and structure-property relationships. Experience with computational materials modeling, simulation, characterization, or materials-focused engineering analysis. Practical proficiency in Python . Experience using at least one engineering or scientific tool through a CLI, scripting interface, configuration files, or programmatic API . Ability to understand and justify modeling assumptions, parameters, approximations, and convergence criteria. Ability to distinguish computational failures from genuine physical behavior. Strong technical communication skills and the ability to explain complex scientific concepts clearly. Relevant Tools experts are paid per task that meets project specifications Task completion time may vary depending on experience and workflow. Minimum submission requirements apply. Application Process Apply to the role and complete the screening questions. Complete an approximately 30-minute AI interview . Complete a technical assessment, if required. Complete the hiring manager review. Successful candidates proceed through onboarding and begin project tasks. Start Timeline