Mechanical Engineer & Python Expert - Freelance AI Trainer

Mindrift•Quebec, QC

7d•Remote

About The Position

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. You will design computational engineering problems to challenge a frontier AI model. The problem must have an answer verifiable by code, and the problem has to require a specialized tool like Cantera, CoolProp, CalculiX, OpenFAST, or others. Generic numerical libraries on their own won't cut it. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer.

Requirements

Degree in Mechanical Engineering or related field
2+ years of research, applied, or teaching experience
Python proficiency for writing reference solutions
Fluency with — or strong willingness to independently learn — at least one scriptable mechanical engineering package: Cantera, CoolProp, CalculiX, OpenFAST, YADE, or similar tools from the broader engineering catalogue
Ability to design problems that genuinely require a specialized solver
Strong written English (C1+)
Experience in python
Open to part-time, non-permanent projects

Nice To Haves

Willingness to independently learn specialized mechanical engineering packages if not already fluent.

Responsibilities

Pick an anchor tool and design a problem that hinges on its solvers, simulation kernels, or domain-specific models.
Write a Python reference solution, supply input files and geometry or mechanism definitions where needed.
Decide the numerical answer and how close the model needs to get — with a domain-appropriate tolerance — to count as right.
Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts.
Ensure task quality is high through feedback from senior reviewers.