$166k-$312k
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Decision details from the source listing
1-2 years stated
MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; alternatively, a BS in Aerospace or Mechanical Engineering plus 1–2 years of aero-specific professional or research experience.
flexible
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What this posting tells you
Fully remote contractor role for an AI training project, approximately 15 hours per week, with flexible scheduling. Listed pay is $80–$150/hour, but compensation is output-based and experts are paid per task that meets project specifications; task time may vary. Country eligibility requires checking the official posting. Requires strong aerodynamics/CFD knowledge and practical Python experience.
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 marketAerodynamics Expert at micro1
Aerodynamics Expert
Pay: $80–$150/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible—you can choose the hours and days you work, including weekends if desired
We are looking for a highly skilled Aerodynamics Expert to contribute to an AI training project involving computational fluid dynamics, aerodynamic analysis, engineering simulation, and Python.
The work involves creating, solving, reviewing, and validating engineering tasks that can be completed through programmatic, command-line-based workflows. A representative task may require analyzing an airfoil, preparing a computational domain and mesh, defining appropriate boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the resulting flow field is numerically and physically valid.
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 aerodynamic and fluid-dynamics problems.
Translate physical requirements into computational models and solver-ready cases.
Create or modify geometries, computational domains, and meshes.
Define appropriate initial conditions, boundary conditions, fluid properties, and solver settings.
Run CFD and aerodynamic-analysis workflows using command-line-accessible tools.
Use Python to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation.
Required qualifications
An MS or PhD in Aerospace Engineering, or Mechanical Engineering with an aerodynamics, fluid dynamics, or thermofluids specialization; or
A BS in Aerospace or Mechanical Engineering plus at least 1–2 years of aero-specific professional or research experience.
Strong understanding of fluid mechanics and applied aerodynamics.
Experience formulating and executing CFD or aerodynamic analyses.
Practical proficiency with Python.
Experience with at least one engineering tool or library that can be operated through a CLI, scripting interface, configuration files, or programmatic API.
Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
Ability to communicate technical reasoning and engineering trade-offs clearly.
Relevant tools may include OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar programmatic engineering software. Experience with an equivalent CLI-accessible tool is acceptable.
Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or domain-specific scientific packages. 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.