Freelance Energy Engineer with Python Experience - AI Trainer

Mindrift; Remote; EUR 40.000 - 60.000; Teilzeit

Zusammenfassung

A tech opportunity provider is looking for energy engineers to evaluate and validate AI solutions on a project basis. Participants should have a degree in Energy Engineering and 3+ years of experience, alongside strong Python skills and fluent English. This part-time role requires commitment of 10-20 hours a week, with compensation reaching up to $50/hour based on expertise. Remote work with a stable internet connection is essential.

Qualifikationen

• 3+ years of professional energy engineering experience.
• Experience in international or applied projects is an advantage.
• Professional certifications (e.g., PE, CEng) are a plus.

Aufgaben

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

Kenntnisse

Energy engineering experience

Strong Python proficiency

Strong written English (C1/C2)

Ability to validate calculations or simulations

Ausbildung

Degree in Energy Engineering or related fields

Tools

Python (NumPy, Pandas, SciPy)

Jobbeschreibung

Overview

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

While each project involves unique tasks, contributors may:

• 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

What We Look For

This opportunity is a good fit for energy engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:

• 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 $50/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