Mechanical Engineer with Python Experience - Freelance AI Trainer

Mindrift

Australia

Remote

AUD 41,328 - 52,348

Part time

14 days+

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Benefits offered by this job

Earn up to $38/hour

Fully remote work

Flexible schedule

Job summary

A tech-focused company in Australia seeks a Mechanical Engineer with Python experience to train AI models. You will design and evaluate complex engineering problems, ensuring correctness and applying structured scoring criteria. An advanced degree in Mechanical Engineering and strong Python skills are essential. The position offers a flexible, part-time freelance schedule with competitive pay up to $38/hour, providing an opportunity to innovate in AI-driven engineering solutions.

Qualifications

3+ years of professional or advanced academic experience in Mechanical Engineering.
Strong proficiency in Python for numerical validation.
Advanced English proficiency (C1+).

Responsibilities

Design graduate- and industry-level mechanical engineering problems.
Evaluate AI-generated solutions for correctness.
Validate results using Python.
Improve AI reasoning based on engineering standards.

Skills

Python proficiency

Thermodynamics

Fluid Mechanics

Solid Mechanics

Computational Mechanics

Mechanical Design

Education

Bachelor's, Master's, or PhD in Mechanical Engineering

Tools

NumPy

SciPy

Pandas

Job description

Mechanical Engineer with Python Experience - Freelance AI Trainer

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THIS OPPORTUNITY IS ONLY FOR CANDIDATES CURRENTLY RESIDING IN THE SPECIFIED COUNTRY. YOUR LOCATION MAY AFFECT ELIGIBILITY AND RATES. PLEASE SUBMIT YOUR RESUME IN ENGLISH AND INDICATE YOUR LEVEL OF ENGLISH.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

The Role

We are seeking experienced Mechanical Engineers with strong Python skills to train and evaluate AI models on complex, real-world mechanical engineering problems. This role focuses on professional judgment and engineering rigor, not data labeling or traditional software development.

What You'll Do

Design graduate- and industry-level mechanical engineering problems grounded in real practice
Evaluate AI-generated solutions for correctness, assumptions, and engineering logic
Validate analytical or numerical results using Python (NumPy, SciPy, Pandas)
Improve AI reasoning to align with first principles and accepted engineering standards
Apply structured scoring criteria to assess multi-step problem solving

How To Apply

Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.

Effort estimate

Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Requirements

Bachelor's, Master's, or PhD in Mechanical Engineering or closely related field
Strong Python proficiency for numerical validation
3+ years professional or advanced academic experience in one or more of:
- Thermodynamics, Heat Transfer, Fluid Mechanics
- Solid Mechanics, Dynamics & Vibration
- Mechanical Design, Machine Elements
- FEA, CFD, Computational Mechanics
- Manufacturing Processes, CAD/CAE, Thermal Systems
Advanced English proficiency (C1+)
Ability to design non-trivial, computationally intensive problems