AI training contract
Materials Science Expert
Other · Advertised USD 80-150 an hour. · 100 openings
Materials Science Expert is contract work for micro1, reviewing and correcting what AI models produce in other. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. micro1 advertises USD 80 to USD 150 an hour. It also states that pay is output based, paid per task that meets the project specifications, so the hourly figure is an advertised equivalent and not a guaranteed wage.
Where. The listing says this role is global and fully remote. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. That rule comes from micro1's own FAQ at www.micro1.ai/experts, read on 2026-09-18. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 100 openings on this role.
Skills named: Python, Materials Science.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
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.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.