Energy Systems Engineer - Freelance AI Trainer

Mindrift; Australia; Remote; AUD 43,187,760 - 61,509,840; Part time

Job summary

A specialist connection service is seeking energy engineers for project-based AI opportunities focused on testing and evaluating AI systems. This non-permanent role requires a degree in Energy Engineering or related fields, with at least 3 years of experience and strong Python skills. Candidates must have a good command of English and can work part-time during active project phases. Payment is competitive, with rates up to $38/hour based on expertise and project requirements.

Qualifications

• 3+ years of professional energy engineering experience.
• Experience in Python for numerical validation.

Responsibilities

• Design rigorous energy engineering problems.
• Evaluate AI solutions for correctness.
• Validate calculations using Python.

Skills

Energy Engineering

Python (NumPy, Pandas, SciPy)

English proficiency (C1/C2)

Evaluation of AI solutions

Education

Degree in Energy Engineering or related fields

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment.

What This Opportunity Involves

• Design rigorous energy engineering problems reflecting professional practice;
• Evaluate AI solutions for correctness, assumptions, and constraints;
• Validate calculations or simulations using Python (NumPy, Pandas, SciPy);
• Improve AI reasoning to align with industry-standard logic;
• Apply structured scoring criteria to multi-step problems

This opportunity is a good fit for energy engineers with experience in Python open to part‑time, non‑permanent projects.

What We Look For

• Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics etc.
• 3+ years of professional energy engineering experience
• Strong written English (C1/C2)
• Strong Python proficiency for numerical validation
• Stable internet connection

Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage.

How It Works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

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.

Payment

• Paid contributions, with rates up to $38/hour*
• Fixed project rate or individual rates, depending on the project
• Some projects include incentive payments
• Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project