WFH.teamOpen app$166k-$312k
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Decision details from the source listing
MS or PhD in Materials Science and Engineering, Metallurgy, or a closely related discipline; alternatively, an MS or PhD in Mechanical Engineering or Chemical Engineering with a substantial materials specialization.
flexible
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What this posting tells you
Remote contractor role for a Materials Science Expert, typically around 15 hours per week. Work includes creating and validating computational materials-science tasks and simulations, with substantial Python use and coding-agent experience required. The listing states pay of $80–$150 per hour but also says compensation is output-based, paid per task, and that task time varies; no annual salary is specified. Schedule is flexible, and the start timeline is described as immediate, with a first task expected within 24–48 hours after onboarding.
Backend, Customer success, Medical billing, Operations, Product, Software
Eligible countries are not stated.
Global
Expert · Contractor
- Eligible hiring countries are not stated
Backend hiring on WFH.team
This role's listed pay is above the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.
Explore the remote job marketMaterials Science Expert at micro1
Materials Science Expert
Pay: $80–$150/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you 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 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, 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 NumPy, SciPy, 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 expert’s 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 24–48 hours of completing onboarding.
Working remotely at micro1
micro1 builds human-expertise data and evaluation infrastructure for AI models and agents. It recruits core-team employees and domain experts for AI training projects.
- Headquarters
- San Francisco Bay Area, California, United States
- Founded
- 2022
Expert opportunities are remote and can be flexible. International applicants are considered, subject to country exclusions and each project's requirements. Core-team work arrangements vary by opening; check the individual posting.
Apply through the official posting. Expert applicants complete an AI interview and skills certification, followed by project selection and onboarding. Certification does not guarantee a project or immediate work.