AI training contract
Aerodynamics Expert
Other · Advertised USD 80-150 an hour. · 100 openings
Aerodynamics 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, Aerodynamics.
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 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.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.