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Freelance Energy Engineering & Python Expert - AI Trainer

$55 per hour
Temporary

Mindrift

Overview

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

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 $55/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
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Vacancy posted 1 day ago
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