Energy Systems Engineer - Freelance AI Trainer
Mindrift offers remote, project-based opportunities for specialists to help leading tech companies test and enhance AI systems in the energy engineering domain. Contributors design and evaluate complex engineering problems, validate AI outputs using Python (NumPy, Pandas, SciPy), and assess solutions against rigorous industry criteria. The role provides flexible part-time engagement (estimated 10–20 hrs/week) with competitive pay up to $40 per hour. Compensation varies by project; participation is as an independent contractor, not permanent staff.
Candidates should have a degree in Energy Engineering or related field and 3+ years of relevant experience. Strong English (C1/C2) and proficiency in Python for numerical validation are essential, along with a reliable internet connection. Professional certifications (PE, CEng, EMP, CEM) and experience with international or applied projects are advantageous.
Contributors follow a streamlined process—apply, qualify, join projects, and receive payment for completed tasks. Workload varies by project activity. Indicate your CV in English and specify your English proficiency level when applying.
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.
Compensation
On this project, contributors can earn up to $40 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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