Freelance Energy Engineer with Python Experience - AI Trainer
Mindrift offers flexible, remote, project-based opportunities for experienced energy engineers to contribute to AI development for leading tech firms. Contributors design engineering problems, evaluate AI solutions, and validate calculations using Python (NumPy, Pandas, SciPy). Assignments require 10–20 hours weekly during active phases. Compensation is up to $40/hour, with variation depending on project and expertise; payment may be at a fixed or hourly rate, and some projects offer incentives.
Candidates must have a degree in Energy Engineering or related fields, 3+ years’ professional experience, high proficiency in English (C1/C2), and strong Python skills. Certifications such as PE, CEng, EMP, or CEM, plus international or applied project experience, are advantageous. Stable internet access is required.
Please submit your CV in English and state your English proficiency level when applying. Note: Opportunities are on a non-permanent, part-time basis, with workflow based on project demand and successful qualification.
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 an 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 $40/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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