Freelance Energy Engineering & Python Expert - AI Trainer

Overview

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.

Responsibilities

• 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.

Qualifications

• 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 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.