Posted 2 days ago
Freelance Mechanical CFD Engineer - AI Trainer
@ Mindrift
British Columbia · St. Marys, ON · Alberta · Quebec · Manitoba
Overview
Mindrift is hiring a freelance mechanical CFD engineer, part-time and fully remote, to help train and evaluate AI agents on expert fluid simulation tasks. The work involves taking CAD geometry, setting up and running simulations, building verified reference solutions and writing Python checks. Pay is up to $39 per hour equivalent, about 10 to 20 hours per week during active phases.
Responsibilities:
- Take CAD geometry and set up fluid simulations
- Run simulations and build verified reference solutions
- Write Python checks for AI agent results
- Evaluate AI agent performance on expert CFD tasks
Requirements summary:
- Degree in mechanical, aerospace or related field (PhD preferred)
- Several years of hands-on CFD with OpenFOAM, Fluent, CFX or STAR-CCM+
- Mesh-independence and validation practice
- Comfortable with Python and GitHub
- English at B2 level or above
Tools & skills
Source and dates
Employer career site / ATS feed · workable
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Engineering |
| Hours per week | 15 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Doctorate (preferred) |
| Fields of study | Mechanical Engineering, Aerospace Engineering, Energy, Oil & Gas |
| Perks mentioned | Performance bonus |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mindrift
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Be the “I” in AI with Mindrift. Work from anywhere on groundbreaking AI projects
Full company description
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies. Through Mindrift, over 10,000 professionals across 50+ domains and 15+ languages contribute to supervised fine-tuning, reinforcement learning from human feedback (RLHF), model evaluation, and red-teaming for frontier AI models developed by leading global technology companies. Operated by Toloka from Amsterdam, Netherlands, Mindrift offers flexible, fully remote, project-based opportunities — empowering experts to shape the future of generative AI, one task at a time.
- LinkedIn followers
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- People associated on LinkedIn
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- Business categories
- Information Technology
- Internet
- Internet of Things
- Software Development
- Other recorded names
- Mindrift
- Mindrift - Data annotation
- Profile identifies a recruitment agency
- No
- Reported total investment
- 0
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mindrift (mindrift.ai) is the expert-sourcing platform built by Toloka, a Nebius Group (Nasdaq: NBIS) company and a global leader in data services for AI since 2014. Mindrift’s CEO and co-founder, Olga Megorskaya, launched the platform to connect domain experts — from software engineers and physicians to linguists and lawyers — with AI training projects for the world's leading technology companies. Through…
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 501-1,000 employees |
| Organization type | Public Company |
| Open jobs on Jobsy | 10 |
| View page |
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 $39 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.
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