Energy Engineering & Python Expert - Freelance AI Trainer
Mindrift offers remote, project-based opportunities for experienced energy engineers to test and improve AI systems used by leading tech companies. Contributors engage in tasks such as designing engineering problems, evaluating AI solutions, and validating simulations using Python (NumPy, Pandas, SciPy). This is non-permanent, part-time work (10–20 hours/week during active phases), with compensation up to $40/hour based on skills and project requirements, plus potential incentives.
Candidates should have a degree in Energy Engineering or related fields and at least 3 years’ professional experience, strong Python proficiency, and advanced written English (C1/C2). Certifications like PE or CEM and international project experience are advantageous. A stable internet connection is essential.
Selection involves a qualification process before joining projects. Every project’s workload and payment terms vary; specifics are provided for each assignment. Applicants must submit their CV in English and state their English proficiency level.
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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