CFD AI Training Task Designer (OpenFOAM)

OpenTrain AI; Australia; Hybrid; AUD 156,000 - 214,000; Part time

Benefits offered by this job

Fully remote freelance work

Flexible scheduling

Opportunity to contribute to cutting‑e

Job summary

OpenTrain AI is seeking a CFD AI Training Task Designer to create compact engineering challenges focused on fluid dynamics reasoning. You will write self-contained problem statements, build deterministic scoring checkers, and provide verified reference solutions using your OpenFOAM expertise.

The role is fully remote and flexible, with a commitment of 20 or more hours per week. It is offered as part-time contractor work for candidates working in English from Australia.

Qualifications

• Practical CFD knowledge with clear physics explanations.
• Degree BE/BSc or higher in Aerospace or Mechanical Engineering or related field.
• Hands-on OpenFOAM experience.
• Strong written communication for explaining physics clearly and concisely.

Responsibilities

• Design and validate CFD and aerodynamics tasks that test engineering reasoning.
• Write unambiguous problems covering boundary-condition selection, mesh quality, flow regimes, and simulation setup.
• Develop deterministic scoring checkers that automatically evaluate a model's final answer.
• Provide verified reference solutions confirming each task is solvable and correctly scored.
• Review and iterate on tasks for physical accuracy, clarity, and appropriate difficulty.
• Work independently and asynchronously on your own schedule.

Skills

Fluid mechanics

Aerodynamics

Heat transfer

CFD problem design

Math/physics reasoning

Education

BE/BSc in Aerospace or Mechanical Engineering or related

Tools

OpenFOAM

Mesh generation

Post-processing

Job description

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. Create a free profile, apply in minutes, and build a portable portfolio of work that helps you grow in this rapidly developing field.

About AI Training Work

AI training is the human side of building artificial intelligence. Specialists create carefully designed examples, prompts, and evaluations that help models produce more accurate and useful answers. In this role, your engineering expertise will help evaluate whether AI systems can reason through realistic computational fluid dynamics problems.

• Fully remote freelance work


• Flexible scheduling with asynchronous collaboration


• Opportunity to contribute to cutting-edge AI reasoning systems


• Work that combines engineering expertise with technical task design

The Role

OpenTrain AI is seeking a CFD AI Training Task Designer to create compact engineering challenges focused on fluid dynamics reasoning. You will write self-contained problem statements, build deterministic scoring checkers, and provide verified reference solutions using your OpenFOAM expertise.

The role is fully remote and flexible, with a commitment of 20 or more hours per week. It is offered as part-time contractor work for candidates working in English from Australia.

• Pay: $80–$110 USD per hour


• Work type: Contractor and part-time


• Location: Australia, fully remote


• Language: English


• Experience level: Entry level

What You'll Do

You will design and validate tasks that test how AI models approach CFD and aerodynamics problems. Each task should be physically accurate, clearly written, objectively scored, and appropriate in difficulty.

• Design compact, self-contained CFD and aerodynamics tasks that test engineering reasoning


• Write unambiguous problems covering boundary-condition selection, mesh quality assessment, flow-regime identification, and simulation setup


• Develop deterministic scoring checkers that automatically evaluate a model's final answer


• Provide verified reference solutions confirming that each task is solvable and correctly scored
  
• Review and iterate on tasks for physical accuracy, clarity, and appropriate difficulty


• Work independently and asynchronously on your own schedule

Required Qualifications

This role requires practical CFD knowledge and the ability to explain complex physics with precision. A background in Aerospace Engineering, Mechanical Engineering, or a closely related discipline is preferred at the BE/BSc level or higher.

• Hands-on experience with OpenFOAM


• Solid foundation in fluid mechanics, aerodynamics, and heat transfer fundamentals


• Comfort with mesh generation, turbulence modeling, boundary-condition specification, and post-processing


• Ability to formulate precise, self-contained engineering problems for automated scoring


• Strong written communication skills for explaining complex physics clearly and concisely


• Background in Aerospace Engineering, Mechanical Engineering, or a related field; BE/BSc or higher preferred

Preferred Experience

The following experience is helpful but not required. It can support more advanced task design, simulation automation, or evaluation work.

• Experience with multiple CFD solvers or multiphysics platforms


• Scripting or automation experience with Python, Bash, or MATLAB for simulation setup or post-processing


• Exposure to design optimization, flow-control strategies, or adjoint methods


• Graduate-level coursework or research in aerodynamics, propulsion, or computational methods


• Experience writing technical assessments, examination problems, or engineering challenges

Why Join OpenTrain

As an OpenTrain freelancer, you can build a portable portfolio while contributing directly to the development of AI reasoning capabilities. You will work on meaningful engineering problems without needing to retrain as a data scientist, while retaining the flexibility of freelance scheduling and competitive hourly pay.

• Build experience at the intersection of engineering and AI training


• Apply specialized CFD knowledge to practical model evaluation


• Work remotely with flexible, asynchronous scheduling


• Grow your AI training career through OpenTrain