Aerodynamics Expert for AI Training

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping experts apply their knowledge to projects that shape how modern AI systems work.

• Create an OpenTrain account for free and apply in minutes.
• Work with a fast-growing industry focused on building better AI through expert human input.
• Contribute remotely from anywhere in the world.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts create, review, and evaluate examples that help AI systems reason through technical problems, generate useful outputs, and avoid incorrect or unrealistic results.

• Apply aerospace and computational fluid dynamics expertise to AI-generated engineering work.
• Review technical reasoning, code-based workflows, and generated solutions.
• Help improve AI systems through evaluation, validation, and reference answers.

The Role

OpenTrain AI is seeking an expert in aerodynamics and computational fluid dynamics for a fully remote AI training project. You will create, solve, review, and validate engineering tasks involving aerodynamic analysis, engineering simulation, CFD, and Python.

A representative task may involve analyzing an airfoil, preparing a computational domain and mesh, defining boundary conditions, running a CFD simulation, calculating lift and drag, and determining whether the flow field is numerically and physically valid. Solutions must be reproducible through code, scripts, configuration files, or command-line tools; experience limited exclusively to graphical user interfaces is not sufficient.

• Pay range: $80-$130 per hour.
• Contractor and part-time position.
• Expected commitment: less than 20 hours per week, approximately 15 hours.
• Global, fully remote work.
• Expected project duration: 1 to 3 months.
• Flexible schedule, including the option to work weekends.
• English fluency required.

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 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.
• Analyze pressure, velocity, forces, moments, lift, drag, pressure loss, and other relevant outputs.
• Diagnose mesh quality, convergence, numerical stability, turbulence modeling, and boundary condition problems.
• Perform mesh-independence studies, sanity checks, and comparisons with analytical, experimental, or reference results.
• Review AI-generated engineering solutions for incorrect assumptions, invalid configurations, and physically unrealistic outputs.
• Develop clear, reproducible reference solutions and verification criteria.

Required Qualifications

You should have advanced aerodynamics and fluid mechanics knowledge, along with practical experience executing CFD or aerodynamic analyses programmatically. Candidates should also be able to explain technical reasoning and engineering trade-offs clearly.

• 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 at least 1-2 years of aero-specific professional or research experience.
• Strong understanding of fluid mechanics and applied aerodynamics.
• Practical proficiency with Python.
• Experience with an engineering tool or library available through a CLI, scripting interface, configuration files, or programmatic API.
• Ability to justify modeling assumptions, boundary conditions, mesh strategies, and solver settings.
• Ability to diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs.
• Experience with computer code programming labeling workflows.
• Experience with evaluation rating and text generation tasks.
• Computational fluid dynamics and aerospace engineering subject matter expertise.

Relevant Tools and Technical Experience

No single software package or Python library is mandatory. Equivalent tools are acceptable when they support reproducible, programmatic engineering workflows.

• Relevant engineering tools may include OpenFOAM, SU2, Gmsh, FEniCSx, Elmer, CalculiX, SciPy, or similar software.
• Relevant Python tools may include NumPy, SciPy, pandas, Matplotlib, Jupyter, solver APIs, mesh-processing libraries, or scientific packages.
• Experience with command-line execution, scripting, configuration files, or domain-specific APIs is important.
• Ability to create and review reproducible technical solutions is required.

Compensation, Process, and Start Timeline

Compensation is output-based. Experts are paid per task that meets project specifications, and the time required for each task may vary based on experience and workflow. Minimum submission requirements apply.

The project typically fills roles within 48 hours. Selected experts are expected to begin their first task within 24-48 hours of completing onboarding.

• Apply to the role and complete the screening questions.
• Complete an AI interview of approximately 30 minutes.
• Complete a technical assessment if required.
• Complete the hiring manager review.
• Be ready to start immediately if selected.