Freelance Mechanical CFD Engineer - AI Trainer

Mindrift; Providence (RI); Remote; USD 78,000 - 112,000; Part time

Benefits offered by this job

Performance-based bonuses

Job summary

Mindrift seeks a CFD expert to help train AI agents on expert-level fluid simulations. You will ingest CAD geometry, configure and run simulations, and develop verified reference solutions with Python checks to validate results.

The project is fully remote with flexible hours, around 10–20 hours per week during active phases. Prior OpenFOAM, ANSYS Fluent/CFX, STAR-CCM+ experience and strong verification/validation practices are required.

Qualifications

• Must have degree in Mechanical or Aerospace Engineering or related field.
• PhD preferred but not required.
• Hands-on CFD with OpenFOAM or ANSYS Fluent/CFX or STAR-CCM+.
• Solid verification and validation practice including mesh-independence studies.

Responsibilities

• Train and evaluate AI agents on expert-level fluid simulations.
• Set up simulations from CAD geometry and run analyses.
• Build verified reference solutions and write Python checks for results.

Skills

Python

GitHub

CFD

English (B2)

Education

Bachelors in Mechanical or Aerospace Engineering

PhD preferred

Tools

OpenFOAM

ANSYS Fluent

CFX

STAR-CCM+

Job description

About the role

Help train and evaluate AI agents on expert-level fluid simulation tasks. You’ll take CAD geometry, set up and run simulations, build verified reference solutions, and write Python checks for the agent’s results.

Requirements

A degree in Mechanical or Aerospace Engineering, or a related field such as energy or oil & gas. A PhD is preferred but not required. Several years of hands‑on industry or research CFD with OpenFOAM, ANSYS Fluent/CFX or STAR‑CCM+, including meshing. Solid verification and validation practice: mesh‑independence studies, and validation against experiment or benchmarks. Comfortable with Python and GitHub. English at B2 level or above. Nice to have: aerospace, automotive, offshore or turbomachinery background; multiphase or particle‑laden flow experience.

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $69 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Why this freelance opportunity might be a great fit for you?

• Work fully remote on your own schedule with just a laptop and stable internet connection.
• Apply your expertise to real‑world technology projects while gaining experience building high‑quality solutions for a global platform.
• Participate in performance‑based bonus programs that reward high‑quality work and consistent delivery.