🧪 Materials Science Expert | Remote | $80–$130/Hour Remote Openings 100

🧪 Materials Science Expert | Remote | $80–$130/Hour Posted by micro1 🌍 Fully Remote | Worldwide 👥 100 Openings 💰 $80–$130/Hour ⏰ ~15 Hours/Week | Flexible Schedule 📌 Contractor 🔬 Materials Science Expert micro1 is looking for highly skilled Materials Science Experts to contribute to an AI training project involving computational materials science, materials modeling, scientific simulation, and Python. In this role, you’ll work on challenging materials-engineering problems involving material structures, properties, processing, performance, and failure. You may construct material or atomic models, configure and run simulations, calculate material properties, analyze results, and determine whether solutions are computationally valid and physically meaningful. 🤖 Your scientific expertise will help train and improve next-generation AI systems. Important: Experience must include programmatic scientific or engineering workflows. Experience limited exclusively to graphical user interfaces will not be sufficient. 🛠️ What You’ll Work On 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, and related simulations. Use Python to generate inputs, automate calculations, conduct parameter sweeps, process results, and validate outputs. Analyze mechanical, thermal, electrical, chemical, structural, and electrochemical properties. Diagnose failed calculations, invalid structures, convergence problems, numerical instability, and incorrect physical assumptions. Compare computational results with experimental data, literature values, known properties, and expected physical trends. Review AI-generated solutions for scientific correctness. Identify invalid assumptions, configurations, and conclusions. Develop reproducible reference solutions and objective verification methods. 🎯 Required Skills ✅ Materials Science ✅ Python ✅ Computational Materials Science ✅ Materials Modeling ✅ Scientific Simulation ✅ Materials Engineering ✅ Structure–Property Relationships ✅ Data Analysis & Validation ✅ Scientific Problem-Solving 🎓 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 relevant structure-property relationships. Experience with computational materials modeling, simulation, characterization, or materials-focused engineering analysis. Practical proficiency with Python. Experience with at least one engineering or scientific tool accessible through CLI, scripting, configuration files, or programmatic APIs. Ability to understand and justify modeling assumptions, parameters, approximations, and convergence criteria. Ability to distinguish computational failures from genuine physical behavior. Strong ability to explain complex scientific reasoning and technical limitations clearly. 💻 Relevant Materials & Simulation Tools Experience with tools such as: LAMMPS | ASE | pymatgen | Quantum ESPRESSO | FEniCSx | CalculiX | Elmer | PyBaMM Equivalent CLI-accessible materials modeling or simulation software is also acceptable. 🐍 Relevant Python Tools Experience may include: NumPy | SciPy | pandas | Matplotlib | Jupyter Atomistic modeling packages, materials informatics libraries, and domain-specific scientific tools are also relevant. No single library is mandatory. 🔬 Relevant Experience Experience may come from: 🎓 Academic research 🏛️ National laboratories 🏭 Industry R&D 💻 Computational engineering 🔬 Materials research and development 🧪 Scientific simulation and analysis Candidates should be able to demonstrate meaningful experience in materials science, computational modeling, or materials-focused engineering work. 📝 Hiring Process 1️⃣ Apply to the role and complete the screening questions. 2️⃣ Complete an approximately 30-minute AI interview. 3️⃣ Complete a technical assessment, if required. 4️⃣ Complete the hiring manager review. 💰 Compensation $80–$130 per hour Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. ⏰ Start Timeline & Availability ⚡ micro1 typically fills roles within 48 hours. They are looking for experts who are ready to begin immediately. If selected, you will be expected to start your first task within 24–48 hours after completing onboarding. 🌍 Job Details Position: Materials Science Expert Company: micro1 Location: Global / Fully Remote Job Type: Contractor Openings: 100 Pay: $80–$130/hour Hours: ~15 hours/week Schedule: Flexible Focus: Materials Science, Computational Modeling, Simulation, Python & AI Training 🚀 Why Apply? ✨ Work fully remotely from anywhere in the world ✨ Flexible working hours ✨ Earn $80–$130/hour ✨ Apply your materials expertise to AI development ✨ Work on advanced computational materials problems ✨ Contribute to next-generation AI training ✨ Collaborate on innovative scientific and engineering projects 🔗 Apply Now If you’re an experienced Materials Science Expert with strong Python skills and computational modeling or simulation experience, this is an exciting opportunity to apply your expertise to the future of AI. Apply Now