Energy Engineering & Python Expert - Freelance AI Trainer

Mindrift; Belo Horizonte; On-site; BRL 71,341 - 92,743; Part time

Job summary

A leading AI solutions provider is seeking energy engineers to participate in project-based opportunities focused on evaluating and improving AI systems. Candidates should have a degree in Energy Engineering or related fields and 3+ years of experience, with strong proficiency in Python and English (C1/C2). The projects require 10-20 hours per week, with competitive pay rates up to $13/hour based on expertise. This is a chance to engage with leading tech companies in a flexible, part-time capacity.

Qualifications

• 3+ years of professional energy engineering experience.
• Strong Python proficiency for numerical validation.
• Professional certifications (e.g., PE, CEng, EMP, CEM) is an advantage.

Responsibilities

• Design energy engineering problems reflecting professional practice.
• Evaluate AI solutions for correctness, assumptions, and constraints.
• Improve AI reasoning to align with industry-standard logic.

Skills

Energy engineering

Python

English proficiency (C1/C2)

Education

Degree in Energy Engineering or related fields

Tools

NumPy

Pandas

SciPy

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

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 $13/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.