Freelance Energy Engineer with Python Experience - AI Trainer
Mindrift offers remote, project-based opportunities for energy engineering specialists to support leading tech companies in testing and improving AI systems. Contributors design professional energy engineering problems, evaluate AI-generated solutions, and validate calculations using Python (NumPy, Pandas, SciPy). Compensation is project-dependent, with rates up to $40/hour and the possibility of incentive payments. Participation is not permanent employment and workloads vary based on project phases.
Candidates should hold a degree in Energy Engineering (or related field) and have at least 3 years of professional experience, along with strong written English skills (C1/C2) and proficiency in Python for numerical validation. A stable internet connection is required, while professional certifications (PE, CEng, EMP, CEM) and experience in international or applied projects are advantageous.
Tasks are estimated at 10–20 hours per week during active project phases. Applicants must submit a CV in English and indicate their English proficiency. The workflow includes a qualification process, and payment rates may vary according to expertise and project specifics.
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 isproject-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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