Energy Systems Engineer - Freelance AI Trainer

Mindrift; Belo Horizonte; Teletrabalho; BRL 76 513 - 108 973; Tempo parcial

Resumo da oferta

A project-based AI consultancy is seeking energy engineers to work on flexible, non-permanent projects. The role involves designing energy engineering problems, evaluating AI solutions, and validating outcomes using Python. Ideal candidates will have a degree in Energy Engineering or related fields, 3+ years of experience, and C1/C2 level English proficiency. Work is estimated at 10-20 hours per week, with competitive pay rates up to $13/hour based on expertise.

Qualificações

• 3+ years of professional energy engineering experience.
• Strong written English, proficiency C1/C2.
• Stable internet connection.

Responsabilidades

• Design rigorous energy engineering problems.
• Evaluate AI solutions for correctness.
• Validate calculations or simulations using Python.
• Improve AI reasoning to align with industry standards.
• Apply structured scoring criteria to multi-step problems.

Conhecimentos

Energy Engineering

Python

English (C1/C2)

Formação académica

Degree in Energy Engineering or related fields

Ferramentas

NumPy

Pandas

SciPy

Descrição da oferta de emprego

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.