WFH.teamOpen app$166k-$312k
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Decision details from the source listing
1-2 years stated
MS or PhD in Mechanical Engineering or a closely related engineering discipline; alternatively, BS in Mechanical Engineering plus at least 1–2 years of relevant professional experience.
flexible
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What this posting tells you
Fully remote global contractor role, approximately 15 hours per week, with flexible hours. The listing states pay of $80–$150 per hour but also says compensation is output-based and experts are paid per task, so the actual payment basis is unclear. Country eligibility must be checked on the official posting. Applicants need an MS or PhD, or a BS plus relevant experience, along with mechanical-engineering expertise, Python, and practical experience with coding agents. Selected candidates are expected to start their first task within 24–48 hours after onboarding.
Backend, Customer success, Design and creative, Medical billing, Operations, Product, QA and testing, Software
Eligible countries are not stated.
Global
Expert · Contract · 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 marketMechanical Engineering Expert at micro1
Mechanical Engineering 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 Mechanical Engineering Expert to contribute to an AI training project involving engineering design, physical modeling, simulation, technical problem-solving, and Python.
The work involves creating, solving, reviewing, and validating engineering tasks across structural, thermal, mechanical, and multiphysics domains. A representative task may require translating physical requirements into a computational model, generating the required geometry or mesh, applying materials and boundary conditions, running an engineering simulation, and determining whether the resulting artifact and analysis satisfy the applicable physical and design constraints.
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 mechanical-engineering problems involving design, analysis, simulation, testing, or R&D.
Translate physical systems and engineering requirements into analytical or computational models.
Create or modify geometry, meshes, materials, loads, contacts, constraints, and solver inputs.
Perform structural, thermal, dynamic, fatigue, buckling, vibration, or related analyses.
Use Python to automate model preparation, simulation, parameter sweeps, optimization, postprocessing, and verification.
Required qualifications
An MS or PhD in Mechanical Engineering or a closely related engineering discipline; or
A BS in Mechanical Engineering plus at least 1–2 years of relevant professional experience in mechanical design, analysis, simulation, testing, or R&D.
Strong understanding of applied mechanics and mechanical-engineering fundamentals.
Experience developing analytical, computational, or simulation-based engineering solutions.
Practical proficiency with Python and coding agents.
Relevant tools may include CalculiX, Gmsh, Elmer, FEniCSx, CadQuery, OpenSCAD, OpenFOAM, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.
Relevant Python tools may include NumPy, SciPy, SymPy, pandas, Matplotlib, Jupyter, CAD or meshing APIs, finite-element libraries, optimization packages, or domain-specific scientific tools. No single library is mandatory.
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.