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MindriftCFD Engineer - AI Trainer
Mindrift is seeking a remote CFD specialist to help teach and assess AI agents on advanced fluid-flow simulation work. The engagement is project-based. Contributors start from…
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About This Role
Mindrift is seeking a remote CFD specialist to help teach and assess AI agents on advanced fluid-flow simulation work. The engagement is project-based. Contributors start from CAD models, configure and execute simulations, produce validated reference answers, and write Python tests that check what the agent produces. The listing frames it as applying engineering knowledge to practical technology projects for a worldwide platform. The listing expects roughly 10 to 20 hours…
Job Description
Mindrift is seeking a remote CFD specialist to help teach and assess AI agents on advanced fluid-flow simulation work. The engagement is project-based. Contributors start from CAD models, configure and execute simulations, produce validated reference answers, and write Python tests that check what the agent produces. The listing frames it as applying engineering knowledge to practical technology projects for a worldwide platform.
The listing expects roughly 10 to 20 hours per week while a project is active, presented as an approximation rather than a fixed commitment. Pay can reach $9 an hour equivalent, scaled to the contributor's seniority and speed. Rates differ by project, and the platform's other projects may pay more or less. Bonus programs tied to performance reward work that is both excellent and steady.
Work is remote, and contributors pick their own hours, needing only a laptop and a dependable internet connection.
The ideal applicant holds an engineering degree in mechanical or aerospace studies, or in a closely connected area such as energy or oil and gas. A doctorate is welcome but optional. Several years of practical CFD work in industry or research is needed, using OpenFOAM, Fluent or CFX from ANSYS, or STAR-CCM+, including meshing. Verification and validation know-how, such as grid-convergence checks and comparison with experimental or benchmark data, is essential. Python and GitHub skills are needed, and English should be at a B2 level or better. Experience in aerospace, car, offshore or turbomachinery engineering, or with multiphase or particle-laden flows, is a bonus.
Responsibilities
- Start from CAD geometry, then configure and run fluid simulations
- Produce validated reference solutions
- Write Python tests that check the agent's output
- Help train and rate AI agents on advanced fluid-flow simulation work
Requirements
- Engineering degree (mechanical or aerospace), or a closely related area such as energy or oil and gas
- Several years of practical industry or research CFD using OpenFOAM, Fluent or CFX, or STAR-CCM+, with meshing expertise
- Verification and validation expertise, including grid-convergence work and comparison with experimental or benchmark results
- Comfortable using Python and version control on GitHub
- English proficiency at B2 or above
Qualifications
- Doctorate (welcome but not required)
- Experience in aerospace, car, offshore or turbomachinery engineering
- Experience with multiphase or particle-laden flows
Core Skills
Benefits
- Remote arrangement that fits around the contributor's schedule
- Bonus programs tied to quality and consistency
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
How is pay set?
Pay reaches $9 an hour equivalent, based on level and pace, and it varies by project.
How many hours are expected?
An estimated 10 to 20 hours weekly during active phases. The posting says this is not a guaranteed amount.
Is the role remote?
Yes. The stated setup needs only a laptop and a reliable internet connection.
What software skills count?
Several years of CFD using OpenFOAM, ANSYS Fluent or CFX, or STAR-CCM+, along with Python and GitHub.
How do I apply?
The posting does not describe the application process.
Sample Interview Questions
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