Aerodynamics Expert
Micro1 • Remote
Education
PhD
Type
Per task
Pay Rate
$80–$150/task
Actively Hiring
100 openings
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- Start timeline
- Starts within 24–48 hrs of onboarding
About this role
From the Micro1 listing
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.
Requirements
- Python
- Aerodynamics
- Must be eligible to work in Remote
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Interview Prep
This listing calls for this tool directly. Prep for the technical screen:
Why this role
Micro1's Aerodynamics Expert role pays $80-$130 per task for engineers who can run computational fluid dynamics analysis through programmatic, command-line workflows. The roughly 15-hour-a-week schedule is flexible, including weekends, and the work centers on aerodynamic simulation and technical problem-solving in Python. A PhD-level background is expected given the depth of CFD analysis involved.
Talent pool
We're light on STEM candidates
We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.
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Common questions
What does the Micro1 application process look like?
Expect a screening interview with Zara, Micro1's AI recruiter. Prepare for it like a real video call: good lighting, clear audio, verbal answers to technical questions. A human manager reviews the recording afterward, and some roles add a short skills assessment on top.
Can I apply to Micro1 from outside the US or UK?
Yes. Micro1 accepts applicants from most countries worldwide, unlike DataAnnotation or Outlier, both of which cap access to a handful of English-speaking countries. Most roles still require strong written and spoken English.
Is AI training work the same as traditional consulting?
No. Instead of client deliverables, you're given complex scenarios to evaluate: grading the AI's logic, correcting its hallucinations, and supplying expert-level reasoning it doesn't have on its own. The job is closer to teaching than consulting.
Why do these AI training roles pay so much?
Because general knowledge isn't what's being tested. The model already knows the basics; what it needs is expertise on edge cases, the rare, difficult, highly technical judgment calls only a senior professional in the field would make correctly.
What does STEM work look like for an Aerodynamics Expert?
Tasks here are scoped to STEM, not generic labeling. As an Aerodynamics Expert, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Python, Aerodynamics, and Expert are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
What does the 'openings' count on this listing mean?
It's Micro1's live count of how many candidates it's still trying to place for this specific role, 100 right now, not a countdown on your individual application. A higher number signals more active demand; it doesn't lower the bar for acceptance.
How much does this specific role pay?
This listing is posted at $80–$150/task, a per-task rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
How does per-task pay translate to an hourly rate?
It doesn't directly, that's the catch. Each task has a listed price and an estimated completion time, but your actual effective rate depends on how fast you work. If a task is estimated at 20 minutes and pays $8, that is $24/hr for a fast worker and $12/hr for a slow one. Track your actual time on the first few tasks before treating the listed rate as your real hourly income.
What happens when I click Apply on this listing?
You'll be taken to Micro1's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Is a PhD required?
For this specific role, yes, or near-equivalent professional depth. The credential gate is enforced at the assessment stage, not just on paper. That said, active PhD candidates and people with equivalent published research have qualified without a formal degree. The assessment is the real filter.