Energy Engineering & Python Expert - Freelance AI Trainer

Mindrift; Turbigo; Remote; EUR 32,638 - 46,485; Part time

Job summary

A leading technology recruitment firm is looking for experienced energy engineers for project-based roles. Candidates should possess a degree in Energy Engineering and have at least 3 years of relevant experience. Proficiency in Python and strong English skills (C1/C2) are required. This is a part-time opportunity, offering up to $33 per hour depending on expertise and contribution pace. Join a dynamic team focused on evaluating and improving AI solutions in the energy sector.

Qualifications

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

Responsibilities

• Design rigorous energy engineering problems reflecting professional practice.
• Evaluate AI solutions for correctness and constraints.
• Validate calculations or simulations using Python.
• Improve AI reasoning aligned with industry-standard logic.
• Apply structured scoring criteria to multi-step problems.

Skills

Energy engineering experience

Python proficiency for numerical validation

Strong written English (C1/C2)

Ability to work on part-time projects

Education

Degree in Energy Engineering or related fields

Job description

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 and open to part-time, non-permanent projects.

• 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.

Compensation

On this project, contributors can earn up to $33 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.