Remote CFD Engineer & AI Task Designer

Dorado

Greater London

On-site

GBP 82,656 - 130,872

Part time

14 days+

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Job summary

Alignerr is seeking a CFD Engineer to design AI-training tasks that test fluid dynamics reasoning. You will craft bite-sized CFD problems with clear statements, automated scoring, and reference solutions. Hands-on OpenFOAM experience and strong fundamentals in fluid mechanics, aerodynamics, and heat transfer are essential.

The role is an hourly contract, remote, with 10-40 hours per week. You will work independently, iterating tasks for accuracy and clarity while grounding them in real-world CFD

Qualifications

  • Hands-on OpenFOAM experience
  • Strong foundation in fluid mechanics, aerodynamics, and heat transfer
  • Ability to formulate precise, self-contained CFD tasks
  • Experience designing clear problem statements and deterministic checkers

Responsibilities

  • Design compact CFD and aerodynamics tasks that test AI model reasoning
  • Write clear, unambiguous problem statements on boundary conditions, mesh quality, flow regimes and setup
  • Develop deterministic scoring checkers to evaluate model answers
  • Provide verified reference solutions that prove solvability and correct scoring
  • Review and iterate tasks for accuracy, clarity and difficulty
  • Leverage OpenFOAM in task grounding and realism
  • Work independently and asynchronously on schedule

Skills

OpenFOAM
Fluid mechanics
Aerodynamics
Heat transfer
Post-processing
Mesh generation
Turbulence modeling
Python
Bash
MATLAB

Education

Aerospace/Mechanical Eng degree

Tools

Python
Bash
MATLAB

Job description

Alignerr is seeking a CFD Engineer to design AI-training tasks that test fluid dynamics reasoning. You will craft bite-sized CFD problems with clear statements, automated scoring, and reference solutions. Hands-on OpenFOAM experience and strong fundamentals in fluid mechanics, aerodynamics, and heat transfer are essential.

The role is an hourly contract, remote, with 10-40 hours per week. You will work independently, iterating tasks for accuracy and clarity while grounding them in real-world CFD

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