Materials Science Expert

pay

Required Skills
Python
Materials Science
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

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.
Email

By clicking any of the "Continue" buttons below, you acknowledge and agree to our Terms and Privacy Policy for candidates.

Continue
or
Continue with Google
Continue with LinkedIn

Have any questions? See FAQs

Refer and Earn
$1000