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This is a fully remote position , open to candidates based in Canada.

Pay: $80$150/hr Materials Science Expert Pay: $80$150/hour Location: Global, fully remote Job Type: Contractor (~15 hours per week) Schedule: Flexibleyou choose the hours and days you work, including weekends if desired We are looking for a highly skilled Materials Science Expert to contribute to an AI training project involving computational materials science, materials modeling, scientific simulation, and Python.

The work involves creating, solving, reviewing, and validating engineering tasks related to material structures, properties, processing, performance, and failure. A representative task may require constructing a material or atomic model, configuring and running a simulation, calculating relevant properties, analyzing the resulting outputs, and determining whether the solution is computationally valid and physically meaningful.

This is a very coding heavy role.

Candidates but have experience using coding agents with python in their workflow.

What Youll 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, or related simulations.

Use Python to generate inputs, automate calculations, conduct parameter sweeps, process results, and validate outputs.

Required Qualifications An MS or PhD in Materials Science and Engineering, Metallurgy,



or a closely related discipline; or An 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.

Experience using coding agents and Python.

Relevant tools may include LAMMPS, ASE, pymatgen, Quantum ESPRESSO, FEniCSx, CalculiX, Elmer, PyBaMM , or similar programmatic materials and simulation software.

Experience with an equivalent CLI-accessible tool is acceptable.

Relevant Python tools may include Num

Py, Sci

Py, pandas, Matplotlib, Jupyter , atomistic modeling packages, materials informatics libraries, or domain-specific scientific tools.

No single library is mandatory.

Experience may come from academic research, national laboratories, industry R&D;, computational engineering, or other demonstrated materials work.

Process Apply to the role and complete the screening questions.

Complete an AI interview of approximately 30 minutes.

Complete the hiring manager review.

Compensation Structure 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 experts experience and workflow.

Minimum submission requirements apply.

Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts who are ready to begin immediately.

If selected, you will be expected to start your first task within 2448 hours of completing onboarding.

How to apply Apply here with your profile.

We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.

📌 Materials Science Expert (Toronto)
🏢 RemoteJobsOne
📍 Toronto