Freelance Mechanical CFD Engineer - AI Trainer
Quick Summary
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Freelance Mechanical CFD Engineer – AI Trainer based in India .
We are seeking an experienced Mechanical or Aerospace Engineer with strong Computational Fluid Dynamics (CFD) expertise to help train and evaluate advanced AI agents. In this freelance role, you will apply your simulation knowledge to real-world engineering problems and assess the accuracy and reliability of AI-generated solutions. You will work with CAD geometries, configure and execute fluid simulations, and develop verified reference solutions using industry-standard CFD tools. You will also use Python to build automated checks that evaluate the quality and correctness of AI-generated results. This opportunity combines advanced engineering analysis with emerging AI technologies, making it ideal for professionals who enjoy technical problem-solving, independent work, and innovation. The project offers remote flexibility, with an estimated commitment of 10–20 hours per week during active project phases.
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CFD simulation and analysis: Set up and run computational fluid dynamics simulations using CAD geometries and appropriate simulation methodologies.
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Simulation configuration: Prepare simulation models, define suitable boundary conditions, and perform meshing using established CFD workflows.
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Reference solution development: Build accurate, verified reference solutions that can be used to evaluate AI agents on expert-level fluid simulation tasks.
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AI output evaluation: Review and assess AI-generated engineering solutions for technical correctness, numerical reliability, and consistency with expected simulation outcomes.
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Verification and validation: Conduct mesh-independence studies and validate simulation results against experimental data, established benchmarks, or other reliable references.
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Automated testing: Develop Python scripts and checks to evaluate AI-generated results, identify errors, and verify compliance with engineering expectations.
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Technical documentation: Clearly document simulation methods, assumptions, validation approaches, and expected results to support reproducible and reliable evaluations.
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Engineering problem-solving: Apply advanced CFD knowledge to investigate complex fluid mechanics problems and identify potential issues in simulation workflows.
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Collaborative project delivery: Contribute technical expertise to AI training and evaluation projects, maintaining high standards of accuracy and consistency throughout assigned tasks.
Requirements
~2 min read-
A degree in Mechanical Engineering, Aerospace Engineering, or a related discipline, such as Energy Engineering or Oil and Gas Engineering. A PhD is preferred but not required.
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Several years of hands-on CFD experience in an industrial or research environment.
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Practical experience with CFD tools such as OpenFOAM, ANSYS Fluent, ANSYS CFX, or STAR-CCM+, including mesh generation and simulation setup.
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Strong understanding of fluid mechanics, numerical simulation methods, and CFD modeling principles.
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Experience with verification and validation practices, including mesh-independence studies and validation against experimental data or established benchmarks.
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Proficiency in Python for scripting, automating checks, and evaluating simulation outputs.
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Familiarity with GitHub and version control workflows.
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English proficiency at B2 level or above, with the ability to understand technical documentation and communicate engineering findings clearly.
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Strong analytical thinking, attention to detail, and the ability to identify inconsistencies in complex technical results.
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Ability to work independently, manage assigned tasks, and deliver accurate, well-documented work in a remote freelance environment.
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Professional or research experience in aerospace, automotive, offshore engineering, or turbomachinery.
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Experience with multiphase flows or particle-laden flow simulations.
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A background in advanced engineering research, numerical modeling, or simulation-based design.
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Interest in AI model training, technical evaluation, and the application of engineering expertise to AI development.
Nice to have:
What We Offer
~2 min readLocation & Eligibility
About this job
- Pay per year
- ≈ $18,720 a year
- 70% below the $62,400 median for Data Collector jobs on Jobera (289 salaries).
- Who can apply
- India
- Posted
- Today
Listing Details
- Posted
- October 29, 2026
- First seen
- October 29, 2026
- Last seen
- October 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 80%
- Scored at
- October 29, 2026
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