United States

Freelance Energy Engineering & Python Expert - Ai Trainer, Virginia

Freelance Energy Engineering & Python Expert - Ai Trainer, Virginia
Description

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 ***** 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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