Energy Engineering & Python Expert - Freelance Ai Trainer
Pubblicato il 10-08-2026 - Mindrift in Firenze
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 tempo parziale, 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 ***** 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.
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